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# Release Notes for Dynamsoft Barcode Reader - 11.x
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## 11.4 (02/03/2026)
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## 11.4 (02/05/2026)
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### Highlights
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#### AI-Powered Barcode Detection and Decoding
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-**PDF417 Localization Model** – Introduces the `PDF417Localization` neural network model for improved detection of PDF417 barcodes, especially in challenging conditions.
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-**PDF417 Localization Model** – Introduces the `PDF417Localization` neural network model for improved detection of PDF417 barcodes, especially under challenging conditions.
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-**Code39/ITF Decoding Model** – Adds the `Code39ITFDecoder` model for enhanced decoding of Code 39 and ITF barcodes under blur or low-resolution conditions.
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-**Code39/ITF Decoding Model** – Adds the `Code39ITFDecoder` model for enhanced decoding of Code 39 and ITF barcodes under blurred or low-resolution conditions.
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-**Deblur Models for 2D Barcodes** – New `DataMatrixQRCodeDeblur` and `PDF417Deblur` models provide more effective recovery from motion and focus blur for DataMatrix, QR Code, and PDF417 barcodes.
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-**Deblur Models for 2D Barcodes** – Adds the `DataMatrixQRCodeDeblur` and `PDF417Deblur` models to provide more effective recovery from motion and focus blur for DataMatrix, QR Code, and PDF417 barcodes.
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#### ECI (Extended Channel Interpretation) Support
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-**ECI Information Return** – Added support for retrieving Extended Channel Interpretation (ECI) data from barcodes. The new `CECISegment` class along with `GetECISegmentsCount()` and `GetECISegment()` methods in `CBarcodeResultItem` and `CDecodedBarcodeElement` classes enable access to character encoding information embedded in barcodes.
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-**ECI Information Return** – Adds support for retrieving Extended Channel Interpretation (ECI) data from barcodes. The new `CECISegment` class, along with the `GetECISegmentsCount()` and `GetECISegment()` methods in the `CBarcodeResultItem` and `CDecodedBarcodeElement` classes, enables access to character encoding information embedded in barcodes.
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-**Automatic UTF-8 Conversion** – Barcode text now respects ECI segments when available, improving compatibility with international character sets.
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-**ECI-Based Text Interpretation** – Adds support for interpreting ECI segments during barcode decoding, improving compatibility with international character sets.
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#### Performance Improvements
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-**On-Demand Model Loading** – Implemented lazy loading for AI models, reducing initialization time by loading models only when first needed.
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-**On-Demand Model Loading** – Implements lazy loading for AI models, reducing initialization time by loading models only when first needed.
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-**Smart Model Selection** – Models are now loaded based on configured barcode formats, minimizing memory usage by excluding unused models.
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-**Improved Confidence Scoring** – Enhanced confidence score calculation for results from neural network models, providing more accurate quality indicators.
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-**Improved Confidence Scoring** – Enhances confidence score calculation for results from neural network models, providing more accurate quality indicators.
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-**DPM Barcode Optimization** – Improved recognition rate for Direct Part Marking (DPM) barcodes commonly used in industrial and manufacturing environments.
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-**DPM Barcode Optimization** – Improves recognition rate for Direct Part Marking (DPM) barcodes commonly used in industrial and manufacturing environments.
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