Web Demos

BARCODE READER SDK DEMO

Explore the flexibe barcode reading settings to optimize for your specific usage scenario.

WEB TWAIN SDK DEMO

Try the most popular web scanner features: scan images, import local images and PDF files, edit, save to local, upload to database, and etc.

BARCODE READER JAVASCRIPT DEMO

Transform any camera-equipped devices into real-time, browser-based barcode and QR code scanners.

MRZ SCANNER WEB DEMO

Detects the machine-readable zone of a passport, scans the text, and parses into human-readable data.

APP STORE DEMOS

BARCODE READER SDK FOR IOS

BARCODE READER SDK FOR ANDROID

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Documentation
Table of contents

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Release Notes - C/C++ 2.x

2.2.20 (09/29/2022)

New

Renamed

Removed

  • The following methods are removed
    • DLR_InitLicense. The method is replaced by DC_InitLicense under DynamsoftCore.
    • DLR_AppendSettingsFromString
    • DLR_AppendSettingsFromFile
    • DLR_ClearAppendedSettings
    • DLR_UpdateRuntimeSettingsFromString

2.2.10 (06/21/2022)

Changelog

  • Reduced the size of MRZ model from 10MB to 2.56MB.
  • Improved single-line text confidence. This enables users to implement a result confidence filter to improve the recognition accuracy.
  • Improved character segmentation when processing some connected characters. This improves the recognition accuracy.

2.2.2 (03/03/2022)

Changelog

Fixed

  • Fixed a bug that might cause incorrect regular expression matching.
  • Fixed a bug that might output incorrect MRZ results.

2.2 (11/30/2021)

Highlights

  • Improved the performance of the MRZ scenario. The recognition speed is improved by about 70%.

  • Added character normalization modes to normalize the text. This feature will improve the read rate when processing the text in nonstandard fonts like dot matrix.

  • New parameter control and recognition methods are added to fit more usage scenarios.

Changelog

New

2.0 (08/26/2021)

Highlights

  • Added image processing modes to enhance the usage scenarios like MRZ reading:
    • Texture area detection
    • Color Conversion
    • Binarization
    • Grayscale image processing
  • Added dictionary-based correction. The dictionary is minimal and customizable to only cover a scenario-oriented vocabulary.

  • Improved the overall performance by replacing Caffe engine with OpenCV dnn engine

  • Improved the readability of recognizing skewed characters.

  • Improved the MRZ reading performance.

  • Added a core library. Migrated the core structs/classes from the LabelRecognizer library to the core library.

Changelog

New

Improved

  • Improved the neural network performance by replacing Caffe engine with OpenCV DNN engine.

Fixed

API Changes

This page is compatible for:

Version 7.5.0

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