Deep OCR is a holistic deep-learning-based approach for OCR. This new technology brings machine vision one step closer to human reading. Compared to existing algorithms, Deep OCR can localize characters much more robustly, regardless of their orientation, font type and polarity. The ability to automatically group characters allows the identification of whole words. This strongly increases the recognition performance since, e.g., misinterpretation of characters with similar appearances can be avoided.
Improved Shape-based Matching
In HALCON 20.11, the core technology, shape-based matching, has been improved. More parameters are now estimated automatically. This increases usability as well as the matching rate and robustness in low contrast and high noise situations.
For enhanced usability, HALCON’s integrated development environment HDevelop has been given a facelift. In HALCON 20.11, more options for individual configurations have been implemented, featuring e.g., a dark mode and a new modern window docking concept. Moreover, themes are now available to improve visual ergonomics and to suit individual preferences.