Release Notes for Dynamsoft Barcode Reader - 11.x

11.2 (10/14/2025)

✨ Key Highlights

AI-Powered Barcode Detection & Decoding

• 🧠 First-to-Market AI Localization: Revolutionary OneDLocalization and DataMatrixQRCodeLocalization neural network models for superior detection of blurred/low-resolution 1D codes and DataMatrix/QR codes with missing or damaged finder patterns
• ⚡ Specialized Decoders: Cutting-edge EAN13Decoder and Code128Decoder models deliver unprecedented accuracy for blurred and long-distance scenarios
• 🔍 Enhanced Clarity Processing: Completely redesigned OneDDeblur model with superior motion blur and focus blur recovery algorithms
• 🎯 Flexible Model Configuration: Advanced ModelNameArray parameter enables on-demand model loading and precise selection for specific barcode scenarios

Precision Control

• ⚙️ Granular Deblur Methods: Fine-tuned DM_DEEP_ANALYSIS with specialized method control - OneDGeneral, TwoDGeneral, and EAN13Enhanced for targeted optimization
• 🎯 Smart Barcode Counting: New ExpectedBarcodesCount parameter enables format-specific quantity control and early termination optimization for known-quantity scenarios
• 🔍 Advanced Region Detection: New RPM_GRAY_CONSISTENCY mode enables precise region detection based on grayscale uniformity and local consistency for document and label processing

11.0 (03/04/2025)

Highlights

• Workflow Improvements
  • Restructured the parameter control hierarchy at all levels for finer scope definition and more granular process management, with the stage level newly added.
  • Enabled custom combinations and sequences of sections, increasing flexibility and operational customization under specific conditions.
• Deep Learning Integration
  • Improved the reading rate of 1D barcode by introducing a new deblurring deep-learning model.
  • Lowered the error rate of 1D and DataMatrix barcode localization using custom deep-learning object detection.
• Algorithm Enhancements
  • Enabled deduplication at the Region of Interest (ROI) level to consolidate results from multiple tasks.
  • Improved the CODE_128 and DataMatrix DeepAnalysis algorithms for better decoding accuracy and performance.
  • Added support for new barcode types: CODE_32, MATRIX_25, KIX, and TELEPEN.
• Engineering Optimizations
  • Unified template-loading logic to reduce I/O overhead.
  • Added support for capturing data from multi-page files, including PDF and TIFF formats.
  • Implemented conversion functionality between CImageData and image files, including both on-disk and in-memory files.