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NID Verification process

Process NID photo to known-image
  1. Convert image from base64 to any format
from utils.preprocessing.image import ImageConverter

img_data = '''
data:image/png;base64,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
'''

image_convert = ImageConverter(image_name='nid_number.png', output_dir='/home/shakil/Tensorlow/object_detection/images/known_images')
img_path = image_convert.from_base64(image_data=img_data) # base64 image data get from Porichoy
  • Crop face from this image
from utils.preprocessing.image import ImagePreprocessing
from face_detection.one_shot import FaceRecognition
ip = ImagePreprocessing(source='/home/shakil/Tensorlow/object_detection/images/known_images')
ip.face_crop(image=img_path)
fr = FaceRecognition(known_data_directory='/home/shakil/Tensorlow/object_detection/images/known_images')
fr.save()

# save into pickle file
  • One shot face recognition
from face_detection.one_shot import FaceRecognition
upload_image = '' # image which has taken from frontend selfie
fr = FaceRecognition(known_data_directory='/home/shakil/Tensorlow/object_detection/images/known_images')
result = fr.nid_verification(upload_image, nid_no='022203322')
print(result['match'], result['accuracy']) # match return True or False, accuracy return accurate percent

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