mrz-scanner-sdk

Python MRZ Scanner SDK

This project provides a Python-C++ binding for the Dynamsoft Label Recognizer v2.x, allowing developers to build MRZ (Machine Readable Zone) scanner applications on both Windows and Linux platforms using Python.

Note: This project is an unofficial, community-maintained Python wrapper for the Dynamsoft Label Recognizer SDK. For those seeking the most reliable and fully-supported solution, Dynamsoft offers an official Python package. Visit the Dynamsoft Capture Vision Bundle page on PyPI for more details.

About Dynamsoft Capture Vision Bundle

• Activate the SDK with a 30-day FREE trial license.
• Install the SDK via pip install dynamsoft-capture-vision-bundle.

Comparison Table

Feature	Unofficial Wrapper (Community)	Official Dynamsoft Capture Vision SDK
Support	Community-driven, best effort	Official support from Dynamsoft
Documentation	README only	Comprehensive Online Documentation
API Coverage	Limited	Full API coverage
Feature Updates	May lag behind the official SDK	First to receive new features
Compatibility	Limited testing across environments	Thoroughly tested across all supported environments
OS Support	Windows, Linux	Windows, Linux, macOS

Supported Python Versions

• Python 3.x

Installation

Install the required dependencies:

pip install mrz opencv-python

Command-line Usage

• Scan MRZ from an image file:

  scanmrz <file-name> -l <license-key>
  

• Scan MRZ from a webcam:

  scanmrz <file-name> -u 1 -l <license-key>
  

  

Quick Start

import mrzscanner
from mrz.checker.td1 import TD1CodeChecker
from mrz.checker.td2 import TD2CodeChecker
from mrz.checker.td3 import TD3CodeChecker
from mrz.checker.mrva import MRVACodeChecker
from mrz.checker.mrvb import MRVBCodeChecker

def check(lines):
    try:
        td1_check = TD1CodeChecker(lines)
        if bool(td1_check):
            return "TD1", td1_check.fields()
    except Exception as err:
        pass
    
    try:
        td2_check = TD2CodeChecker(lines)
        if bool(td2_check):
            return "TD2", td2_check.fields()
    except Exception as err:
        pass
    
    try:
        td3_check = TD3CodeChecker(lines)
        if bool(td3_check):
            return "TD3", td3_check.fields()
    except Exception as err:
        pass
    
    try:
        mrva_check = MRVACodeChecker(lines)
        if bool(mrva_check):
            return "MRVA", mrva_check.fields()
    except Exception as err:
        pass
    
    try:
        mrvb_check = MRVBCodeChecker(lines)
        if bool(mrvb_check):
            return "MRVB", mrvb_check.fields()
    except Exception as err:
        pass
    
    return 'No valid MRZ information found'

# set license
mrzscanner.initLicense("LICENSE-KEY")

# initialize mrz scanner
scanner = mrzscanner.createInstance()

# load MRZ model
scanner.loadModel(mrzscanner.load_settings())

print('')
# decodeFile()
s = ""
results = scanner.decodeFile("images/1.png")
for result in results:
    print(result.text)
    s += result.text + '\n'
print('')
print(check(s[:-1]))
print('')

API Reference

• mrzscanner.initLicense('YOUR-LICENSE-KEY'): Initialize the SDK with your license key.

  mrzscanner.initLicense("LICENSE-KEY")
  

• mrzscanner.createInstance(): Create an instance of the MRZ scanner.

  scanner = mrzscanner.createInstance()
  

• scanner.loadModel(<model configuration file>): Load the MRZ model configuration.

  scanner.loadModel(mrzscanner.load_settings())
  

• decodeFile(<image file>): Recognize MRZ from an image file.

  results = scanner.decodeFile(<image-file>)
  for result in results:
      print(result.text)
  

• decodeMat(<opencv mat data>): Recognize MRZ from an OpenCV Mat.

  import cv2
  image = cv2.imread(<image-file>)
  results = scanner.decodeMat(image)
  for result in results:
      print(result.text)
  

• addAsyncListener(callback function): Register a callback function to receive MRZ recognition results asynchronously.

• decodeMatAsync(<opencv mat data>): Recognize MRZ from OpenCV Mat asynchronously.

  def callback(results):
      s = ""
      for result in results:
          print(result.text)
          s += result.text + '\n'
  
      print('')
      print(check(s[:-1]))
  
  import cv2
  image = cv2.imread(<image-file>)
  scanner.addAsyncListener(callback)
  for i in range (2):
      scanner.decodeMatAsync(image)
      sleep(1)
  

How to Build the Python MRZ Scanner Extension

• Create a source distribution:

  python setup.py sdist
  

• setuptools:

  python setup.py build
  python setup.py develop 
  

• Build wheel:

  pip wheel . --verbose
  # Or
  python setup.py bdist_wheel