Python MRZ Scanner SDK

A Python wrapper for Machine Readable Zone (MRZ) detection and parsing using the Dynamsoft Capture Vision SDK. Supports multiple document types including passports, ID cards, visas, and travel documents across Windows, Linux, and macOS platforms.

Note: This is an unofficial, community-maintained wrapper. For the most reliable and fully-supported solution, consider the official Dynamsoft Capture Vision Bundle.

🚀 Quick Links

• 📖 Official Dynamsoft Documentation
• 🔑 Get 30-day FREE trial license
• 📦 Official Python Package

📊 Feature Comparison

🎯 Supported MRZ Types

• TD1: ID cards (3 lines, 30 characters each)
• TD2: ID cards (2 lines, 36 characters each)
• TD3: Passports (2 lines, 44 characters each)
• MRVA/MRVB: Visas (2 lines, 44/36 characters)

🔧 Installation

Requirements

• Python 3.x

• OpenCV (for UI display)

  pip install opencv-python
  

• Dynamsoft Capture Vision Bundle SDK

  pip install dynamsoft-capture-vision-bundle
  

Build from Source

# Source distribution
python setup.py sdist

# Build wheel
python setup.py bdist_wheel

🏃‍♂️ Quick Start

Basic Usage

import mrzscanner

# 1. Initialize license (required)
error_code, error_msg = mrzscanner.initLicense("YOUR_LICENSE_KEY")
if error_code != 0:
    print(f"License error: {error_msg}")
    exit(1)

# 2. Create scanner instance
scanner = mrzscanner.createInstance()

# 3. Detect MRZ from image
results = scanner.decodeFile("passport.jpg")

# 4. Process results
for mrz in results:
    print(f"Document Type: {mrz.doc_type}")
    print(f"Document ID: {mrz.doc_id}")
    print(f"Name: {mrz.given_name} {mrz.surname}")
    print(f"Nationality: {mrz.nationality}")
    print(f"Date of Birth: {mrz.date_of_birth}")
    print(f"Expiry Date: {mrz.date_of_expiry}")
    print("-" * 40)

Real-time Camera Processing

import cv2
import mrzscanner

# Initialize
mrzscanner.initLicense("YOUR_LICENSE_KEY")
scanner = mrzscanner.createInstance()

def on_mrz_detected(mrzs):
    """Callback for real-time MRZ detection"""
    for mrz in mrzs:
        print(f"🔍 Found: {mrz.doc_type} - {mrz.doc_id}")

# Set up async processing
scanner.addAsyncListener(on_mrz_detected)

# Camera stream
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if ret:
        # Queue frame for async processing
        scanner.decodeMatAsync(frame)
        
        cv2.imshow('MRZ Scanner', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

cap.release()
cv2.destroyAllWindows()
scanner.clearAsyncListener()

📋 Command Line Usage

The package includes a command-line tool for quick MRZ scanning:

# Scan from image file
scanmrz <file-name> -l <license-key>

# Scan with UI display
scanmrz <file-name> -u 1 -l <license-key>

📚 API Reference

Core Classes

MrzScanner

The main class for MRZ detection operations.

scanner = mrzscanner.createInstance()

Synchronous Methods:

• decodeFile(file_path: str) -> List[MrzResult] - Detect MRZ from image file
• decodeMat(mat: np.ndarray) -> List[MrzResult] - Detect MRZ from OpenCV matrix
• decodeBytes(bytes, width, height, stride, pixel_format) -> List[MrzResult] - Detect MRZ from raw bytes

Asynchronous Methods:

• addAsyncListener(callback: Callable) -> None - Start async processing with callback
• decodeMatAsync(mat: np.ndarray) -> None - Queue OpenCV matrix for async processing
• decodeBytesAsync(bytes, width, height, stride, pixel_format) -> None - Queue raw bytes for async processing
• clearAsyncListener() -> None - Stop async processing

MrzResult

Container for detected MRZ information and location.

Attributes:

• doc_type: str - Document type (e.g., "MRTD_TD3_PASSPORT")
• doc_id: str - Document number/ID
• surname: str - Primary identifier (surname)
• given_name: str - Secondary identifier (given names)
• nationality: str - Nationality code (3-letter)
• issuer: str - Issuing country/organization
• gender: str - Gender ("M", "F", or "<")
• date_of_birth: str - Date of birth (YYMMDD)
• date_of_expiry: str - Expiry date (YYMMDD)
• raw_text: List[str] - Raw MRZ text lines
• x1, y1, x2, y2, x3, y3, x4, y4: float - Corner coordinates

Methods:

• to_string() -> str - Human-readable string representation

Utility Functions

# License management
error_code, error_msg = mrzscanner.initLicense("LICENSE_KEY")

# Scanner creation
scanner = mrzscanner.createInstance()

# Format conversion
image_data = mrzscanner.convertMat2ImageData(opencv_mat)
image_data = mrzscanner.wrapImageData(width, height, stride, pixel_format, bytes)