README.md

• Pre-built binaries
• Building
• Testing
  • Usage
  • Examples
• Character Mapping
  • CMC-7
  • E-13B

This application is a reference implementation for developers to show how to use the C# API and could be used to easily check the accuracy. The C# API is a wrapper around the C++ API defined at https://www.doubango.org/SDKs/micr/docs/cpp-api.html. A C++ twin sample application is at c++/recognizer.

The application accepts path to a JPEG/PNG/BMP file as input. This is not the recommended way to use the API. We recommend reading the data directly from the camera and feeding the SDK with the uncompressed YUV data without saving it to a file or converting it to RGB.

If you don't want to build this sample and is looking for a quick way to check the accuracy then, try our cloud-based solution at https://www.doubango.org/webapps/micr/.

This sample is open source and doesn't require registration or license key.

Pre-built binaries

If you don't want to build this sample by yourself then, use the pre-built C++ versions:

• Windows: recognizer.exe under binaries/windows/x86_64
• Linux: recognizer under binaries/linux/x86_64. Built on Ubuntu 18. You'll need to download libtensorflow.so as explained here.
• Raspberry Pi: recognizer under binaries/raspbian/armv7l
• Android: check android folder

On Windows, the easiest way to try this sample is to navigate to binaries/windows/x86_64 and run binaries/windows/x86_64/recognizer_cmc7.bat or binaries/windows/x86_64/recognizer_e13b.bat. You can edit these files to use your own images and configuration options.

Building

This sample contains a single C# source file.

You'll need Visual Studio to build the code. The VS project is at recognizer.vcxproj. Open it.

• You will need to change the "Command line arguments" like the below image. Default value: --assets "$(ProjectDir)..\..\..\assets" --image "$(ProjectDir)..\..\..\assets\images\e13b_1280x720.jpg" --format "e13b+cmc7"

You're now ready to build and run the sample.

Usage

recognizer is a command line application with the following usage:

recognizer \
      --image <path-to-image-with-mrzdata-to-process> \
      [--assets <path-to-assets-folder>] \
      [--format <format-for-dtection:e13b/cmc7/e13b+cmc7>] \
      [--tokenfile <path-to-license-token-file>] \
      [--tokendata <base64-license-token-data>]

Options surrounded with [] are optional.

• --image Path to the image(JPEG/PNG/BMP) to process. You can use default image at ../../../assets/images/e13b_1280x720.jpg.
• --assets Path to the assets folder containing the configuration files and models. Default value is the current folder.
• --format Defines the MICR format to enable for the detection. Use e13b to look for E-13B lines only and cmc7 for CMC-7 lines only. To look for both, use e13b+cmc7. For performance reasons you should not use e13b+cmc7 unless you really expect the document to contain both E-13B and CMC7 lines. Default: e13b+cmc7.
• --tokenfile Path to the file containing the base64 license token if you have one. If not provided then, the application will act like a trial version. Default: null.
• --tokendata Base64 license token if you have one. If not provided then, the application will act like a trial version. Default: null.

Examples

You'll need to change the Visual Studio properties to define the command line arguments.

recognizer.exe \
    --image "$(ProjectDir)..\..\..\assets\images\e13b_1280x720.jpg" \
    --assets "$(ProjectDir)..\..\..\assets" \
    --format "e13b+cmc7"

Character Mapping

This is a command-line application and the console doesn't support CMC-7 and E-13B fonts. The special characters will be mapped to ASCII alphabet as follow:

CMC-7

E-13B