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Release Notes - Java 2.x

2.2.10 (06/27/2024)

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

  • Added a new property timeout to DLRRuntimeSettings class.
  • Added modes parameter CharacterNormalizationModes to normalize the text. The parameter is available under the following classes:
    • LabelRecognizerParameter
    • TextArea
    • LineSpecification

Improved

  • 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.

2.0 (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

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