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layout default-layout
title Release Notes v11.x - Dynamsoft Barcode Reader SDK Java Edition
description Release notes for DBR SDK Java Edition v11.x, highlighting AI-powered barcode detection models, ECI support, on-demand model loading, and performance improvements.
keywords release notes, java
needGenerateH3Content false

Release Notes for Java Edition - 11.x

11.4.2000 (03/18/2026)

Security Updates

  • Updated third-party libraries to incorporate the latest security fixes.

Bug Fixes

  • Fixed an issue where the SDK might attempt to load corrupted model resource files in rare cases.

11.4.1000 (02/05/2026)

Highlights

AI-Powered Barcode Detection and Decoding

  • PDF417 Localization Model – Introduces the [PDF417Localization]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/localization-modes.html#modelnamearray) neural network model for improved detection of PDF417 barcodes, especially under challenging conditions.

  • Code39/ITF Decoding Model – Adds the [Code39ITFDecoder]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) model for enhanced decoding of Code 39 and ITF barcodes under blurred or low-resolution conditions.

  • Deblur Models for 2D Barcodes – Adds the [DataMatrixQRCodeDeblur]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) and [PDF417Deblur]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) models to provide more effective recovery from motion and focus blur for DataMatrix, QR Code, and PDF417 barcodes.

ECI (Extended Channel Interpretation) Support

  • ECI Information Return – Adds support for retrieving Extended Channel Interpretation (ECI) data from barcodes. The new [ECISegment]({{ site.dbr_java_api }}eci-segment.html) class, along with the getECISegments() method in the [BarcodeResultItem]({{ site.dbr_java_api }}barcode-result-item.html#getecisegments) and [DecodedBarcodeElement]({{ site.dbr_java_api }}decoded-barcode-element.html#getecisegments) classes, enables access to character encoding information embedded in barcodes.

  • ECI-Based Text Interpretation – Adds support for interpreting ECI segments during barcode decoding, improving compatibility with international character sets.

Performance Improvements

  • On-Demand Model Loading – Implements lazy loading for AI models, reducing initialization time by loading models only when first needed.

  • Smart Model Selection – Models are now loaded based on configured barcode formats, minimizing memory usage by excluding unused models.

  • Improved Confidence Scoring – Enhances confidence score calculation for results from neural network models, providing more accurate quality indicators.

  • DPM Barcode Optimization – Improves recognition rate for Direct Part Marking (DPM) barcodes commonly used in industrial and manufacturing environments.

New

  • Added [BarcodeZoneWidthToHeightRatioRangeArray]({{ site.dcvb_parameters_reference }}barcode-format-specification/barcode-zone-width-to-height-ratio-range-array.html) parameter for filtering barcodes based on aspect ratio constraints.

  • Added [setResultCrossVerificationCriteria()]({{ site.dcvb_java_api }}utility/multi-frame-result-cross-filter.html#setresultcrossverificationcriteria) and [getResultCrossVerificationCriteria()]({{ site.dcvb_java_api }}utility/multi-frame-result-cross-filter.html#getresultcrossverificationcriteria) methods to MultiFrameResultCrossFilter for configurable multi-frame result verification.

Changed

  • captureMultiPages now returns results sorted by page number.

  • Barcode text encoding fallback changed from UTF-8 to ISO-8859-1 when no ECI information is present in the barcode.

  • Updated default value of compensation parameter in [ImageProcessor.convertToBinaryLocal()]({{ site.dcvb_java_api }}utility/image-processor.html#converttobinarylocal) from 0 to 10.

  • [convertToBinaryGlobal()]({{ site.dcvb_java_api }}utility/image-processor.html#converttobinaryglobal) and [convertToBinaryLocal()]({{ site.dcvb_java_api }}utility/image-processor.html#converttobinarylocal) of ImageProcessor class now support color, binary and grayscale images as input.

Improved

  • Improved license binding stability on macOS devices.

Removed

  • Removed DataMatrixModuleIsotropic parameter – use [BarcodeZoneWidthToHeightRatioRangeArray]({{ site.dcvb_parameters_reference }}barcode-format-specification/barcode-zone-width-to-height-ratio-range-array.html) instead.

  • Removed MinRatioOfBarcodeZoneWidthToHeight parameter – use [BarcodeZoneWidthToHeightRatioRangeArray]({{ site.dcvb_parameters_reference }}barcode-format-specification/barcode-zone-width-to-height-ratio-range-array.html) instead.

Fixed

  • Fixed incorrect coordinate in barcode result when using neural network models with a specified region.

  • Fixed crash and hang issues that could occur in certain scenarios.

  • Fixed various minor bugs and improved overall stability.

11.2.5000 (12/16/2025)

This release includes security maintenance updates to ensure continued protection of the product.

Security Updates

  • Updated third-party libraries to incorporate the latest security fixes.

Bug Fixes

  • Fixed memory leak, crash, and hang issues in various scenarios.
  • Improved stability in multi-threading operations.

11.2.1100 (10/28/2025)

Fixed

  • Resolved an initialization crash that occurred when running the SDK within the Spring Boot framework.

11.2.1000 (10/14/2025)

🎉Milestone Release

Version 11.2.1000 introduces a series of AI-driven improvements designed to enhance barcode detection accuracy, processing speed, and configuration flexibility.

This release focuses on practical performance gains for production environments across retail, logistics, and manufacturing workflows.

✨ Key Highlights

AI-Powered Barcode Detection and Decoding

  • New Localization Models – Introduces [OneDLocalization]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/localization-modes.html#modelnamearray) and [DataMatrixQRCodeLocalization]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/localization-modes.html#modelnamearray) neural network models for improved detection of blurred / low-resolution 1D codes, or partially damaged DataMatrix/QR codes.
  • Specialized Decoders – Adds [EAN13Decoder]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) and [Code128Decoder]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) models optimized for long-distance and motion-blurred decoding scenarios.
  • Redesigned Deblur Model – The [OneDDeblur]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) model now provides more effective recovery from motion and focus blur.
  • Configurable Model Selection – The new ModelNameArray parameter supports flexible model loading and fine-grained control for specific barcode types.

Precision and Processing Control

  • Enhanced Deblur Methods – [DM_DEEP_ANALYSIS]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#dm_deep_analysis) now includes sub-level control with OneDGeneral, TwoDGeneral, and EAN13Enhanced options.
  • Barcode Count Expectation – The new [ExpectedBarcodesCount]({{ site.dcvb_parameters_reference }}barcode-format-specification/expected-barcodes-count.html) parameter enables format-specific quantity control and early termination in fixed-count workflows.
  • Improved Region Detection – The new [RPM_GRAY_CONSISTENCY]({{ site.dcvb_parameters_reference }}image-parameter/region-predetection-modes.html#rpm_gray_consistency) mode provides more precise region extraction based on grayscale uniformity and local consistency for document and label processing.

Performance Highlights

Barcode Workflows

  • Up to 26.5% higher read rates under blur conditions with as much as 44% faster processing.
  • Reliable decoding of DataMatrix and QR codes with missing or damaged finder patterns.
  • Extended operational range beyond 75 cm for long-distance barcode scanning.

Developer Notes

  • Backward Compatibility – Fully compatible with existing integrations; no code-level changes required for upgrade.
  • Configuration Flexibility – Expanded parameter set allows comprehensive model configuration for scenario-specific tuning.
  • Production Stability – All new models validated in enterprise environments.

Changed

Parameter Defaults

  • [MaxThreadsInOneTask]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/max-threads-in-one-task.html): default changed from 4 → 0 (auto-detection).
  • [IncludeTrailingCheckDigit]({{ site.dcvb_parameters_reference }}barcode-format-specification/include-trailing-check-digit.html): default changed from 1 → 0. Code128 results will no longer include the trailing check digit by default for improved compliance with standard decoding practices.

Deprecations

  • DeblurModelNameArray argument of [DeblurModes]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html) → use ModelNameArray.
  • AppendModelBuffer method of CaptureVisionRouter → use [AppendDLModelBuffer]({{ site.dcvb_java_api }}capture-vision-router/auxiliary-methods.html#appenddlmodelbuffer).

Fixed

  • Fixed a crash issue that occurred when calling initLicense.

11.0.6100 (08/19/2025)

Fixed

  • Fixed an issue where using a callback function could cause the program to crash.

11.0.6000 (08/06/2025)

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.

  • 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 ImageData and image files, including both on-disk and in-memory files.