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First released: 11-30-2021
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.
First released: 08-26-2021
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.
corelibrary. Migrated the core structs/classes from the LabelRecognizer library to the
|2.0.0||C/C++ / DotNet / Java / Android / iOS|
First released: 05-18-2021
Added timeout mechanism. DLR checks at a few points whether the elapsed time for the current image is longer than its value. If so, DLR will end the flow. Timeout prevents one image from costing too much time.
LineStringLengthRangeis used to define the minimum and maximum string length when running the recognition process on a specific line.
MaxLineCharacterSpacingis used to control the spacing between characters treated as one line.
Improved the regular expression parameter by supporting more RegEx pattern syntaxes.
Improved the recognition accuracy when dealing with skewed and italics characters.
|1.2.0||C/C++ / DotNet / Android / iOS|
|1.2.1||C/C++ / DotNet / Java / Android / iOS|
First released: 02-24-2021
|1.0.0||C/C++ / DotNet / Android / iOS|
First released: 12-10-2020
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