HALCON 21.05 has been released as of today. HALCON Progress users benefit from various improvements and new features:
Deep OCR improvements
With Deep OCR, HALCON includes a holistic deep-learning-based approach to OCR. Compared to other algorithms, this technology can localize characters much more robustly, regardless of their orientation, font type, and polarity. With HALCON 21.05, the performance and usability of Deep OCR have been improved. Big images are now handled more robustly and the result now contains a list of character candidates with corresponding confidence values, which can be used to further improve the recognition results.
Generic Shape Matching
HALCON 21.05 introduces Generic Shape Matching, which makes MVTec's industry-proven shape matching technologies even more user-friendly and future proof. By significantly reducing the number of required operators, users can now implement their solution much faster and a lot easier.
HDevelop usability improvements
HALCON Deep Learning Framework
Optimized subpixel bar code reader
Improvements of basic operators in 2D and 3D for fast and robust preprocessing
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