MRZ_Passport_Reader_From_Image

The of this study are to detect and recognize MRZ ID from one-shot passport images. It includes our own model to segment mrz area. Then, we are using Tesseract OCR to recognize text.

Setup Tesseract

• Setup Tesseract into Tesseract-OCR directory - You should download tesseract-ocr-w64-setup-v5.0.0-alpha.20210811 version
• Then , Copy all files which are at ./tesseract_trained to ./Tesseract-OCR/tessdata .These files are trained models.
• Finally , run this command pip install -r ./requirements.txt to install necessary libraries

Now, You are ready

from mrz_reader import mrz_reader

mrz_reader=mrz_reader()
mrz_reader.load()

#If you want detect face 
mrz_reader.facedetect=True

#Before tesseract , check skewness
mrz_reader.skewness=False

#Before tesseract , delete shadows
mrz_reader.delete_shadows=True

#Before tesseract , clear background
mrz_reader.clear_background=True

mrz_dl,face=mrz_reader.predict("./example.jpg")

Example Result

After you give this image to the models , you will take this result P<GBRUNITED<KINGDOM<FIVE<<JODIE<PIPPA<<<<<<<1071857032GBR8501178F1601312<<<<<<<<<<<<<<02 as a string. This study is a basic solution . Your image which you give should be clear, and it should cover whole area.

Libraries - Refs

• Tesseract OCR Engine
• Skewness