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b/Aadhaar.py @@ -14,13 +14,16 @@ #import os import numpy as np import math +import uuid from scipy import ndimage -import face_recognition +#import face_recognition class Aadhaar_Card(): + #Constructor def __init__(self,config = {'orient' : True,'skew' : True,'crop': True,'contrast' : True,'psm': [3,4,6],'mask_color': (0, 165, 255), 'brut_psm': [6]}): self.config = config + self.uuid=uuid.uuid4(); # Validates Aadhaar card numbers using Verhoeff Algorithm. # Fails if the fake number is generated using same Algorithm. def validate(self,aadhaarNum): @@ -57,22 +60,40 @@ def validate(self,aadhaarNum): def extract(self, path): #("path of input image") + print(path); self.image_path = path self.read_image_cv() + #print("Pre Process") + + #print('extract : Orient checking') if self.config['orient']: + #print('extract : Orient checking Inside') + #print(self.cv_img) self.cv_img = self.rotate(self.cv_img) + #print('extract : Orient Passed') + #print('extract : skew checking') if self.config['skew']: - print("skewness correction not available") - + a=False + #print("skewness correction not available") + #print('extract : skew Passed') + + #print('extract : crop checking') if self.config['crop']: - print("Smart Crop not available") + a=False + #print("Smart Crop not available") + + #print('extract : crop Passed') + #print('extract : contrast checking') if self.config['contrast']: - self.pil_img = self.contrast_image(self.pil_img ) - print("correcting contrast") - + self.pil_img = self.contrast_image(self.img) + #print("correcting contrast") + #print('extract : contrast Passed') + + print('Aadhar Text Extractor') aadhaars = set() + #print("PSM LENTH {0}".format(len(self.config['psm']))) for i in range(len(self.config['psm'])): t = self.text_extractor(self.pil_img,self.config['psm'][i]) anum = self.is_aadhaar_card(t) @@ -151,14 +172,14 @@ def rotate_only(self, img, angle_in_degrees): self.angle_in_degrees = angle_in_degrees rotated = ndimage.rotate(self.img, self.angle_in_degrees) return rotated - + ''' def is_image_upside_down(self, img): self.img = img face_locations = face_recognition.face_locations(self.img) encodings = face_recognition.face_encodings(self.img, face_locations) image_is_upside_down = (len(encodings) == 0) return image_is_upside_down - + ''' def save_image(self, img): self.img = img cv2.imwrite('orientation_corrected.jpg', self.img) @@ -175,34 +196,44 @@ def display(self, img, frameName="OpenCV Image"): # Corrects orientation of image using tesseract OSD if rotation Angle is < 100. def rotate(self,img): - #def orientation_correction(img): #, save_image = False): + #print("orientation_correction") + #print(img) + #def orientation_correction(img): #, save_image = False): # GrayScale Conversion for the Canny Algorithm self.img = img img_gray = cv2.cvtColor(self.img, cv2.COLOR_BGR2GRAY) - self.display(img_gray) + #self.display(img_gray) + + #print("Edge Detection") # Canny Algorithm for edge detection was developed by John F. Canny not Kennedy!! :) img_edges = cv2.Canny(img_gray, 100, 100, apertureSize=3) - self.display(img_edges) + #self.display(img_edges) # Using Houghlines to detect lines + + #print("Edge Detection :Using Houghlines to detect lines") lines = cv2.HoughLinesP(img_edges, 1, math.pi / 180.0, 100, minLineLength=100, maxLineGap=5) img_copy = self.img.copy() for x in range(0, len(lines)): for x1,y1,x2,y2 in lines[x]: cv2.line(img_copy,(x1,y1),(x2,y2),(0,255,0),2) - cv2.imshow('hough',img_copy) - cv2.waitKey(0) + #cv2.imshow('hough',img_copy) + #00cv2.waitKey(0) angles = [] for x1, y1, x2, y2 in lines[0]: angle = math.degrees(math.atan2(y2 - y1, x2 - x1)) angles.append(angle) - + + #print("Find Angles") # Getting the median angle median_angle = np.median(angles) + #print(median_angle) # Rotating the image with this median angle - img_rotated = self.rotate(self.img, median_angle) - self.display(img_rotated) + img_rotated = self.rotate_only(self.img, median_angle) + #print("Rotating the image with this median angle") + #self.display(img_rotated) + ''' if self.is_image_upside_down(img_rotated): print("rotate to 180 degree") angle = -180 @@ -218,14 +249,17 @@ def rotate(self,img): self.display(img_rotated) print("image is straight") return img_rotated + ''' + return img_rotated def contrast_image(self, img): - self.img = img + #print("Inside contrast_image") + self.img = self.img gray = cv2.cvtColor(self.img, cv2.COLOR_BGR2GRAY) #gray = cv2.bitwise_not(gray) thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1] - self.display(thresh) + #self.display(thresh) return thresh diff --git a/Aadhaar.pyc b/Aadhaar.pyc new file mode 100644 index 0000000000000000000000000000000000000000..279af3762e69bcd0c25f9466ce88703952cf2c59 GIT binary patch literal 8942 zcmb_i&2t>p5r1!XwbDvjOSX}%#l|e)fC?}+CfML4j%`VnR2Z3zjD-baGTs^Oj=W!* znYCAmT$NzMAw_WsmC7Zj6o=#wfI|*Bq$;Nzb4o7x2RP-HL&)#fyUpo2^>?iW&;H+J7&X?a>mpgQ_q-< 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z;_~joy-C8%!Nq^XFz#&<##@OT?$az05@f$c%z?2;>3{yM+okQ!;7Lj#xy;H){)zng z{1pB&`A71Fe0Fjoe<44SAHm-teG9V+F True + 'skew' : False, #corrects skewness of image default -> True + 'crop': True, #crops document out of image default -> True + 'contrast' : True, #Bnw for Better OCR default -> True + 'psm': [3,4,6], #Google Tesseract psm modes by default 3,4,6. + 'mask_color': (0, 165, 255), #Masking color BGR Format + 'brut_psm': [3,4,6] #Note : Keep only one psm for brut mask (6) is good to start + } + + + +def to_image_string(image_filepath): + return base64.b64encode(open(image_filepath, 'rb').read())#.encode('base64') + +def delete_file(path): + if os.path.exists(path): + os.remove(path) +# print("Removed the file %s" % path) +# else: +# print("Sorry, file %s does not exist." % path) + + + +#-----------------------------------[1] Index.html for GUI----------------------------------------------------- +def get_file(filename): # pragma: no cover + try: + src = os.path.join(filename) + return open(src).read() + except IOError as exc: + return str(exc) + +@app.route('/', methods=['GET']) +def indexfile(): # pragma: no cover + content = get_file('public/imagebase64.html') + return Response(content, mimetype="text/html") +#--------------------------------------------------------------------------------------- + + + +#------------------------------------[2] Validate method to check sequence in aadhar Number----------------------------------------------- +@app.route('/api/validate', methods=['GET','POST']) +def validate(): + ac = Aadhaar_Card(config); + r = request.get_json(force=True) #content type application/json + content_type = 'application/json' + headers = {'content-type': content_type} + ac = Aadhaar_Card(config); + validity=ac.validate(str(r['test_number'])) + + return Response(response=jsonpickle.encode({'validity':validity}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- + + +#------------------------------------[3] Extract Aadhaar from a base64 image-------------------------------------------------------------- +@app.route('/api/ocr', methods=['GET','POST']) +def ocr(): + ac = Aadhaar_Card(config); + requestid=uuid.uuid4(); + temp_name = "input/"+str(requestid)+".png" + r = request.get_json(force=True) #force=True #content type application/json + + image = r['doc_b64'] # raw data with base64 encoding + + decoded_data = base64.b64decode(image) + np_data = np.fromstring(decoded_data,np.uint8) + + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) + cv2.imwrite(temp_name,img) + content_type = 'application/json' + headers = {'content-type': content_type} + try: + #print("Extracting Addhar") + print(ac.uuid); + aadhar=ac.extract(temp_name) + delete_file(temp_name) + return Response(response=jsonpickle.encode({'aadhaar_list':aadhar}), status=200, mimetype="application/json", headers=headers) + except Exception as e: + print(e) + return Response(response=jsonpickle.encode({'aadhaar_list':''}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- + + + +#------------------------------------[4] Mask aadhaar number card for given aadhaar card number------------------------------------------- +@app.route('/api/mask', methods=['GET','POST']) +def mask(): + ac = Aadhaar_Card(config); + flag_mask = 0 + requestid=uuid.uuid4(); + temp_name = "input/"+str(requestid)+".png" + r = request.get_json(force=True) #force=True #content type application/json + #temp_name = "temp_unmasked.png" + image = r['doc_b64'] # raw data with base64 encoding + decoded_data = base64.b64decode(image) + np_data = np.fromstring(decoded_data,np.uint8) + + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) + cv2.imwrite(temp_name,img) + write = "temp_masked.png" + flag_mask = ac.mask_image(temp_name, write, r['aadhaar']) + delete_file(temp_name) + content_type = 'application/json' + headers = {'content-type': content_type} + + if flag_mask == 0: + return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False}), status=200, mimetype="application/json", headers=headers) + else: + img_bytes = to_image_string(write) + delete_file(write) + #convert byte to string + encoded_string = img_bytes.decode("utf-8") + return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- + + +#Brut Mask any Readable Number from Aadhaar (works good for low res and bad quality images) +@app.route('/api/brut_mask', methods=['GET','POST']) +def brut_mask(): + ac = Aadhaar_Card(config); + r = request.get_json(force=True) #force=True #content type application/json + temp_name = "temp_unmasked.png" + image = r['doc_b64'] # raw data with base64 encoding + decoded_data = base64.b64decode(image) + np_data = np.fromstring(decoded_data,np.uint8) + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) + cv2.imwrite(temp_name,img) + write = "temp_brut_masked.png" + mask_status = ac.mask_nums(temp_name, write) + delete_file(temp_name) + content_type = 'application/json' + headers = {'content-type': content_type} + + img_bytes = to_image_string(write) + delete_file(write) + #convert byte to string + encoded_string = img_bytes.decode("utf-8") + return Response(response=jsonpickle.encode({'doc_b64_brut_masked':encoded_string, 'mask_status': mask_status}), status=200, mimetype="application/json", headers=headers) + + + +#Usecase : You have an aadhaar doc, you want to mask first 8 digits of the aadhaar card +#Process : Image -> Extract Text -> Check for aadhaar number -> Mask first 8 digits // check validity of aadhaar number optional +# If aadhaar card number is not found using OCR, try brut mode and mask possible numbers. + +@app.route('/api/Mask8Digits', methods=['GET','POST']) +def sample_pipe(): + ac = Aadhaar_Card(config); + flag_mask = 0 + r = request.get_json(force=True) #force=True #content type application/json + temp_name = "temp_unmasked.png" + image = r['doc_b64'] # raw data with base64 encoding + decoded_data = base64.b64decode(image) + np_data = np.fromstring(decoded_data,np.uint8) + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) + cv2.imwrite(temp_name,img) + aadhaar_list = ac.extract(temp_name) + content_type = 'application/json' + headers = {'content-type': content_type} + + if len(aadhaar_list) == 0 and r['brut']: + mode_executed = "BRUT-OCR-MASKING" + write = "temp_brut_masked.png" + mask_status = ac.mask_nums(temp_name, write) + delete_file(temp_name) + img_bytes = to_image_string(write) + delete_file(write) + #convert byte to string + encoded_string = img_bytes.decode("utf-8") + return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers) + + if len(aadhaar_list) == 0 and not r['brut']: + mode_executed = "OCR-MASKING" + return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False, 'error':'Unable to find aadhaar number','mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers) + + if len(aadhaar_list) > 0 : + mode_executed = "OCR-MASKING" + # for masking first 8 digits from the number + ori_aadhaar_list = aadhaar_list + aadhaar_list = list(map(lambda x: x[:8] , aadhaar_list)) # Comment out this incase you want to mask entire aadhaar + write = "temp_masked.png" + flag_mask = ac.mask_image(temp_name, write, aadhaar_list) + delete_file(temp_name) + img_bytes = to_image_string(write) + delete_file(write) + #convert byte to string + encoded_string = img_bytes.decode("utf-8") + valid_aadhaar_list = list(filter(lambda x: (ac.validate(x) == 1) , ori_aadhaar_list)) + return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed, 'aadhaar_list':ori_aadhaar_list, 'valid_aadhaar_list':valid_aadhaar_list}), status=200, mimetype="application/json", headers=headers) + +# start flask app +app.run(host="0.0.0.0", port=9001,threaded=True) #debug = True + + diff --git a/Dockerfile b/Dockerfile index ac7b7c5..d322deb 100644 --- a/Dockerfile +++ b/Dockerfile @@ -14,13 +14,13 @@ RUN apt-get update && \ # Build Python APP Here RUN mkdir aadhaar_ocr_masking +COPY requirements.txt /aadhaar_ocr_masking/requirements.txt +RUN pip install -r /aadhaar_ocr_masking/requirements.txt COPY Aadhaar.py /aadhaar_ocr_masking/Aadhaar.py COPY app.py /aadhaar_ocr_masking/app.py -COPY requirements.txt /aadhaar_ocr_masking/requirements.txt -RUN cd aadhaar_ocr_masking && \ - pip install -r requirements.txt + WORKDIR /aadhaar_ocr_masking diff --git a/app.py b/app.py index 926d3c6..fdee513 100644 --- a/app.py +++ b/app.py @@ -49,10 +49,24 @@ def validate(): return Response(response=jsonpickle.encode({'validity':ac.validate(str(r['test_number']))}), status=200, mimetype="application/json", headers=headers) - +def get_file(filename): # pragma: no cover + try: + src = os.path.join(filename) + # Figure out how flask returns static files + # Tried: + # - render_template + # - send_file + # This should not be so non-obvious + return open(src).read() + except IOError as exc: + return str(exc) + +@app.route('/', methods=['GET']) +def metrics(): # pragma: no cover + content = get_file('public/imagebase64.html') + return Response(content, mimetype="text/html") #Extract Aadhaar from a base64 image - @app.route('/api/ocr', methods=['GET','POST']) def ocr(): # print("request",request) @@ -62,10 +76,13 @@ def ocr(): decoded_data = base64.b64decode(image) np_data = np.fromstring(decoded_data,np.uint8) img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) - cv2.imwrite(temp_name,img) content_type = 'application/json' headers = {'content-type': content_type} - return Response(response=jsonpickle.encode({'aadhaar_list':ac.extract(temp_name)}), status=200, mimetype="application/json", headers=headers) + try: + print("Extracting Addhar") + print(ac.extract(temp_name)) + except: + return Response(response=jsonpickle.encode({'aadhaar_list':'ac.extract(temp_name)'}), status=200, mimetype="application/json", headers=headers) #Mask aadhaar number card for given aadhaar card number @@ -78,6 +95,7 @@ def mask(): image = r['doc_b64'] # raw data with base64 encoding decoded_data = base64.b64decode(image) np_data = np.fromstring(decoded_data,np.uint8) + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) cv2.imwrite(temp_name,img) write = "temp_masked.png" diff --git a/public/imagebase64.html b/public/imagebase64.html new file mode 100755 index 0000000..ff82f89 --- /dev/null +++ b/public/imagebase64.html @@ -0,0 +1,285 @@ + + + + + + + + + + + + + + + + + +
+ +

+ + + +
+
+ Image to Base64 Text :
+ + +

+ + + + + \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index 67d07c2..b57a584 100644 --- a/requirements.txt +++ b/requirements.txt @@ -10,3 +10,5 @@ Pillow pytesseract==0.3.3 regex==2020.2.20 Werkzeug==1.0.0 +scipy +requests \ No newline at end of file From 2432f502e7036fcf8984562bb712401f9e9bf279 Mon Sep 17 00:00:00 2001 From: vishalabhang Date: Mon, 30 Mar 2020 19:07:20 +0530 Subject: [PATCH 02/15] WebAdded --- 1.png | Bin 325312 -> 0 bytes 123.png | Bin 434939 -> 0 bytes App2.py | 213 -------------------------------------------- PyraDox.jpg | Bin 29685 -> 0 bytes PyraDox_Samples.jpg | Bin 195849 -> 0 bytes api_samples.py | 151 ------------------------------- app.py | 81 ++++++++++------- 7 files changed, 51 insertions(+), 394 deletions(-) delete mode 100644 1.png delete mode 100644 123.png delete mode 100644 App2.py delete mode 100644 PyraDox.jpg delete mode 100644 PyraDox_Samples.jpg delete mode 100644 api_samples.py diff --git a/1.png b/1.png 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+0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Thu Mar 12 00:16:35 2020 - -@author: utsav -""" - -# flask APP -from Aadhaar import Aadhaar_Card -from flask import Flask, request, Response -import jsonpickle -import cv2 -import numpy as np -import uuid -import base64 -import os -# Initialize the Flask application -app = Flask(__name__) - -config = {'orient' : True, #corrects orientation of image default -> True - 'skew' : False, #corrects skewness of image default -> True - 'crop': True, #crops document out of image default -> True - 'contrast' : True, #Bnw for Better OCR default -> True - 'psm': [3,4,6], #Google Tesseract psm modes by default 3,4,6. - 'mask_color': (0, 165, 255), #Masking color BGR Format - 'brut_psm': [3,4,6] #Note : Keep only one psm for brut mask (6) is good to start - } - - - -def to_image_string(image_filepath): - return base64.b64encode(open(image_filepath, 'rb').read())#.encode('base64') - -def delete_file(path): - if os.path.exists(path): - os.remove(path) -# print("Removed the file %s" % path) -# else: -# print("Sorry, file %s does not exist." % path) - - - -#-----------------------------------[1] Index.html for GUI----------------------------------------------------- -def get_file(filename): # pragma: no cover - try: - src = os.path.join(filename) - return open(src).read() - except IOError as exc: - return str(exc) - -@app.route('/', methods=['GET']) -def indexfile(): # pragma: no cover - content = get_file('public/imagebase64.html') - return Response(content, mimetype="text/html") -#--------------------------------------------------------------------------------------- - - - -#------------------------------------[2] Validate method to check sequence in aadhar Number----------------------------------------------- -@app.route('/api/validate', methods=['GET','POST']) -def validate(): - ac = Aadhaar_Card(config); - r = request.get_json(force=True) #content type application/json - content_type = 'application/json' - headers = {'content-type': content_type} - ac = Aadhaar_Card(config); - validity=ac.validate(str(r['test_number'])) - - return Response(response=jsonpickle.encode({'validity':validity}), status=200, mimetype="application/json", headers=headers) -#----------------------------------------------------------------------------------------------------------------------------------------- - - -#------------------------------------[3] Extract Aadhaar from a base64 image-------------------------------------------------------------- -@app.route('/api/ocr', methods=['GET','POST']) -def ocr(): - ac = Aadhaar_Card(config); - requestid=uuid.uuid4(); - temp_name = "input/"+str(requestid)+".png" - r = request.get_json(force=True) #force=True #content type application/json - - image = r['doc_b64'] # raw data with base64 encoding - - decoded_data = base64.b64decode(image) - np_data = np.fromstring(decoded_data,np.uint8) - - img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) - cv2.imwrite(temp_name,img) - content_type = 'application/json' - headers = {'content-type': content_type} - try: - #print("Extracting Addhar") - print(ac.uuid); - aadhar=ac.extract(temp_name) - delete_file(temp_name) - return Response(response=jsonpickle.encode({'aadhaar_list':aadhar}), status=200, mimetype="application/json", headers=headers) - except Exception as e: - print(e) - return Response(response=jsonpickle.encode({'aadhaar_list':''}), status=200, mimetype="application/json", headers=headers) -#----------------------------------------------------------------------------------------------------------------------------------------- - - - -#------------------------------------[4] Mask aadhaar number card for given aadhaar card number------------------------------------------- -@app.route('/api/mask', methods=['GET','POST']) -def mask(): - ac = Aadhaar_Card(config); - flag_mask = 0 - requestid=uuid.uuid4(); - temp_name = "input/"+str(requestid)+".png" - r = request.get_json(force=True) #force=True #content type application/json - #temp_name = "temp_unmasked.png" - image = r['doc_b64'] # raw data with base64 encoding - decoded_data = base64.b64decode(image) - np_data = np.fromstring(decoded_data,np.uint8) - - img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) - cv2.imwrite(temp_name,img) - write = "temp_masked.png" - flag_mask = ac.mask_image(temp_name, write, r['aadhaar']) - delete_file(temp_name) - content_type = 'application/json' - headers = {'content-type': content_type} - - if flag_mask == 0: - return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False}), status=200, mimetype="application/json", headers=headers) - else: - img_bytes = to_image_string(write) - delete_file(write) - #convert byte to string - encoded_string = img_bytes.decode("utf-8") - return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True}), status=200, mimetype="application/json", headers=headers) -#----------------------------------------------------------------------------------------------------------------------------------------- - - -#Brut Mask any Readable Number from Aadhaar (works good for low res and bad quality images) -@app.route('/api/brut_mask', methods=['GET','POST']) -def brut_mask(): - ac = Aadhaar_Card(config); - r = request.get_json(force=True) #force=True #content type application/json - temp_name = "temp_unmasked.png" - image = r['doc_b64'] # raw data with base64 encoding - decoded_data = base64.b64decode(image) - np_data = np.fromstring(decoded_data,np.uint8) - img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) - cv2.imwrite(temp_name,img) - write = "temp_brut_masked.png" - mask_status = ac.mask_nums(temp_name, write) - delete_file(temp_name) - content_type = 'application/json' - headers = {'content-type': content_type} - - img_bytes = to_image_string(write) - delete_file(write) - #convert byte to string - encoded_string = img_bytes.decode("utf-8") - return Response(response=jsonpickle.encode({'doc_b64_brut_masked':encoded_string, 'mask_status': mask_status}), status=200, mimetype="application/json", headers=headers) - - - -#Usecase : You have an aadhaar doc, you want to mask first 8 digits of the aadhaar card -#Process : Image -> Extract Text -> Check for aadhaar number -> Mask first 8 digits // check validity of aadhaar number optional -# If aadhaar card number is not found using OCR, try brut mode and mask possible numbers. - -@app.route('/api/Mask8Digits', methods=['GET','POST']) -def sample_pipe(): - ac = Aadhaar_Card(config); - flag_mask = 0 - r = request.get_json(force=True) #force=True #content type application/json - temp_name = "temp_unmasked.png" - image = r['doc_b64'] # raw data with base64 encoding - decoded_data = base64.b64decode(image) - np_data = np.fromstring(decoded_data,np.uint8) - img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) - cv2.imwrite(temp_name,img) - aadhaar_list = ac.extract(temp_name) - content_type = 'application/json' - headers = {'content-type': content_type} - - if len(aadhaar_list) == 0 and r['brut']: - mode_executed = "BRUT-OCR-MASKING" - write = "temp_brut_masked.png" - mask_status = ac.mask_nums(temp_name, write) - delete_file(temp_name) - img_bytes = to_image_string(write) - delete_file(write) - #convert byte to string - encoded_string = img_bytes.decode("utf-8") - return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers) - - if len(aadhaar_list) == 0 and not r['brut']: - mode_executed = "OCR-MASKING" - return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False, 'error':'Unable to find aadhaar number','mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers) - - if len(aadhaar_list) > 0 : - mode_executed = "OCR-MASKING" - # for masking first 8 digits from the number - ori_aadhaar_list = aadhaar_list - aadhaar_list = list(map(lambda x: x[:8] , aadhaar_list)) # Comment out this incase you want to mask entire aadhaar - write = "temp_masked.png" - flag_mask = ac.mask_image(temp_name, write, aadhaar_list) - delete_file(temp_name) - img_bytes = to_image_string(write) - delete_file(write) - #convert byte to string - encoded_string = img_bytes.decode("utf-8") - valid_aadhaar_list = list(filter(lambda x: (ac.validate(x) == 1) , ori_aadhaar_list)) - return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed, 'aadhaar_list':ori_aadhaar_list, 'valid_aadhaar_list':valid_aadhaar_list}), status=200, mimetype="application/json", headers=headers) - -# start flask app -app.run(host="0.0.0.0", port=9001,threaded=True) #debug = True - - diff --git a/PyraDox.jpg b/PyraDox.jpg deleted file mode 100644 index e3c758c5f9aaa44ac7111e1044dacda1bcb023bb..0000000000000000000000000000000000000000 GIT binary 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=>",r['aadhaar_list']) - print("Validated Aadhaar list =>",r['valid_aadhaar_list']) - return "masked document saved as "+ save_name - else: - print("Execution Mode =>",r['mode_executed']) - print("Error =>",r['error']) - return "Unable to find given number in the image :/ (try brut mode)" - - - -#####################Usage => ################### - -#Validates Aadhaar card numbers using Verhoeff Algorithm. -number = 397788000234 -print(hit_api_validate(number)) - - -#Extract aadhaar Number from image '1.png' - -image = '1.png' # I assume you have a way of picking unique filenames -print(hit_api_extract(image)) #Returns empty list if aadhaar is not found - - -#Mask aadhaar number card for given aadhaar card number - -aadhaar_list = ['397788000234'] -image = '1.png' # I assume you have a way of picking unique filenames -print(hit_api_mask_aadhaar(image,aadhaar_list)) #saves masked image as masked+image => masked_1.png - -#Brut Mask any Readable Number from Aadhaar (works good for low res and bad quality images) - -image = '1.png' # I assume you have a way of picking unique filenames -masked_image = 'brut_masked.png' # I assume you have a way of picking unique filenames -print(hit_api_brut_mask(image,masked_image)) - - -#Usecase : You have an aadhaar doc, you want to mask first 8 digits of the aadhaar card -#Process : Image -> Extract Text -> Check for aadhaar number -> Mask first 8 digits // check validity of aadhaar number -# If aadhaar card number is not found using OCR, try brut mode and mask possible numbers. - -#This is implemented in app.py Now lets hit this pipeline here - -image = '1.png' # I assume you have a way of picking unique filenames -masked_image = 'masked_aadhaar.png' # I assume you have a way of picking unique filenames -brut_mode = True #uses brut mode incase if ocr fails -print(hit_api_sample_pipe(image,masked_image,brut_mode)) - - diff --git a/app.py b/app.py index fdee513..49ef20f 100644 --- a/app.py +++ b/app.py @@ -12,6 +12,7 @@ import jsonpickle import cv2 import numpy as np +import uuid import base64 import os # Initialize the Flask application @@ -23,10 +24,10 @@ 'contrast' : True, #Bnw for Better OCR default -> True 'psm': [3,4,6], #Google Tesseract psm modes by default 3,4,6. 'mask_color': (0, 165, 255), #Masking color BGR Format - 'brut_psm': [6] #Note : Keep only one psm for brut mask (6) is good to start + 'brut_psm': [3,4,6] #Note : Keep only one psm for brut mask (6) is good to start } -ac = Aadhaar_Card(config) + def to_image_string(image_filepath): return base64.b64encode(open(image_filepath, 'rb').read())#.encode('base64') @@ -38,60 +39,77 @@ def delete_file(path): # else: # print("Sorry, file %s does not exist." % path) -# validate method to check sequence -@app.route('/api/validate', methods=['GET','POST']) -def validate(): - r = request.get_json(force=True) #content type application/json - #print("this s",type(r)) - #print(r) - content_type = 'application/json' - headers = {'content-type': content_type} - - return Response(response=jsonpickle.encode({'validity':ac.validate(str(r['test_number']))}), status=200, mimetype="application/json", headers=headers) + +#-----------------------------------[1] Index.html for GUI----------------------------------------------------- def get_file(filename): # pragma: no cover try: src = os.path.join(filename) - # Figure out how flask returns static files - # Tried: - # - render_template - # - send_file - # This should not be so non-obvious return open(src).read() except IOError as exc: return str(exc) @app.route('/', methods=['GET']) -def metrics(): # pragma: no cover +def indexfile(): # pragma: no cover content = get_file('public/imagebase64.html') return Response(content, mimetype="text/html") +#--------------------------------------------------------------------------------------- + -#Extract Aadhaar from a base64 image + +#------------------------------------[2] Validate method to check sequence in aadhar Number----------------------------------------------- +@app.route('/api/validate', methods=['GET','POST']) +def validate(): + ac = Aadhaar_Card(config); + r = request.get_json(force=True) #content type application/json + content_type = 'application/json' + headers = {'content-type': content_type} + ac = Aadhaar_Card(config); + validity=ac.validate(str(r['test_number'])) + + return Response(response=jsonpickle.encode({'validity':validity}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- + + +#------------------------------------[3] Extract Aadhaar from a base64 image-------------------------------------------------------------- @app.route('/api/ocr', methods=['GET','POST']) def ocr(): -# print("request",request) + ac = Aadhaar_Card(config); + requestid=uuid.uuid4(); + temp_name = "input/"+str(requestid)+".png" r = request.get_json(force=True) #force=True #content type application/json - temp_name = "123.png" + image = r['doc_b64'] # raw data with base64 encoding + decoded_data = base64.b64decode(image) np_data = np.fromstring(decoded_data,np.uint8) + img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED) + cv2.imwrite(temp_name,img) content_type = 'application/json' headers = {'content-type': content_type} try: - print("Extracting Addhar") - print(ac.extract(temp_name)) - except: - return Response(response=jsonpickle.encode({'aadhaar_list':'ac.extract(temp_name)'}), status=200, mimetype="application/json", headers=headers) + #print("Extracting Addhar") + print(ac.uuid); + aadhar=ac.extract(temp_name) + delete_file(temp_name) + return Response(response=jsonpickle.encode({'aadhaar_list':aadhar}), status=200, mimetype="application/json", headers=headers) + except Exception as e: + print(e) + return Response(response=jsonpickle.encode({'aadhaar_list':''}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- -#Mask aadhaar number card for given aadhaar card number +#------------------------------------[4] Mask aadhaar number card for given aadhaar card number------------------------------------------- @app.route('/api/mask', methods=['GET','POST']) def mask(): + ac = Aadhaar_Card(config); flag_mask = 0 + requestid=uuid.uuid4(); + temp_name = "input/"+str(requestid)+".png" r = request.get_json(force=True) #force=True #content type application/json - temp_name = "temp_unmasked.png" + #temp_name = "temp_unmasked.png" image = r['doc_b64'] # raw data with base64 encoding decoded_data = base64.b64decode(image) np_data = np.fromstring(decoded_data,np.uint8) @@ -103,7 +121,7 @@ def mask(): delete_file(temp_name) content_type = 'application/json' headers = {'content-type': content_type} -# print(flag_mask) + if flag_mask == 0: return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False}), status=200, mimetype="application/json", headers=headers) else: @@ -112,11 +130,13 @@ def mask(): #convert byte to string encoded_string = img_bytes.decode("utf-8") return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True}), status=200, mimetype="application/json", headers=headers) +#----------------------------------------------------------------------------------------------------------------------------------------- -#Brut Mask any Readable Number from Aadhaar (works good for low res and bad quality images) +#Brut Mask any Readable Number from Aadhaar (works good for low res and bad quality images) @app.route('/api/brut_mask', methods=['GET','POST']) def brut_mask(): + ac = Aadhaar_Card(config); r = request.get_json(force=True) #force=True #content type application/json temp_name = "temp_unmasked.png" image = r['doc_b64'] # raw data with base64 encoding @@ -142,8 +162,9 @@ def brut_mask(): #Process : Image -> Extract Text -> Check for aadhaar number -> Mask first 8 digits // check validity of aadhaar number optional # If aadhaar card number is not found using OCR, try brut mode and mask possible numbers. -@app.route('/api/sample_pipe', methods=['GET','POST']) +@app.route('/api/Mask8Digits', methods=['GET','POST']) def sample_pipe(): + ac = Aadhaar_Card(config); flag_mask = 0 r = request.get_json(force=True) #force=True #content type application/json temp_name = "temp_unmasked.png" From 335b0d35ee51c7a3229f057ff1d5f9b0344d6817 Mon Sep 17 00:00:00 2001 From: vishalabhang Date: Thu, 23 Apr 2020 15:19:38 +0530 Subject: [PATCH 03/15] UI BOOYTSRAP --- app.py | 4 +- .../578a3139-606b-46f4-87cf-f7d728667d07.png | Bin 0 -> 460787 bytes .../62a5eb2e-2dbe-4c38-9e75-352304018b3f.png | Bin 0 -> 460787 bytes public/bootstrap.min.css | 7 + public/bootstrap.min.js | 7 + public/imagebase64.html | 142 ++++++++++++------ public/jquery-3.4.1.slim.min.js | 2 + public/popper.min.js | 5 + 8 files changed, 119 insertions(+), 48 deletions(-) create mode 100644 input/578a3139-606b-46f4-87cf-f7d728667d07.png create mode 100644 input/62a5eb2e-2dbe-4c38-9e75-352304018b3f.png create mode 100644 public/bootstrap.min.css create mode 100644 public/bootstrap.min.js create mode 100644 public/jquery-3.4.1.slim.min.js create mode 100644 public/popper.min.js diff --git a/app.py b/app.py index 49ef20f..80e4d1e 100644 --- a/app.py +++ b/app.py @@ -16,8 +16,8 @@ import base64 import os # Initialize the Flask application -app = Flask(__name__) - +#app = Flask(__name__) +app = Flask(__name__, static_url_path='',static_folder='public'); config = {'orient' : True, #corrects orientation of image default -> True 'skew' : False, #corrects skewness of image default -> True 'crop': True, #crops document out of image default -> True diff --git a/input/578a3139-606b-46f4-87cf-f7d728667d07.png b/input/578a3139-606b-46f4-87cf-f7d728667d07.png new file mode 100644 index 0000000000000000000000000000000000000000..234336b7fab9a3db8399295ea34de057e26c5c7a GIT binary patch literal 460787 zcmeFZg;QJMyDc1o1t}1$6eoCFoZ?3&q_XiWPS#UfhZoDehA2Zu&d- 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e=this._getContent();"function"==typeof e&&(e=e.call(this.element)),this.setElementContent(t.find(ln),e),t.removeClass(rn+" "+sn)},e._getContent=function(){return this.element.getAttribute("data-content")||this.config.content},e._cleanTipClass=function(){var t=g(this.getTipElement()),e=t.attr("class").match(en);null!==e&&0=this._offsets[o]&&("undefined"==typeof this._offsets[o+1]||t - + + + + + - - + +
+ + - - - - - + + +
- + + +
-
- Base64 to Image :
- - -
-
-
- Mask Base64 to Image :
- - -
+ + Base64 to Image :
+ + +
+ +
+
+ + + Mask Base64 to Image :
+ + +
- -
+
- Image to Base64 Text :
-