MVTec Software GmbH


Featured in HALCON and MERLIC
Video: Deep-learning-based OCR with our software

MVTec’s software includes multiple classification techniques as well as an automatic text reader. These can be used to achieve reliable and robust Optical Character Recognition (OCR) performance. Accurate results are possible even under the most challenging reading conditions like slanted text, distorted characters, and characters printed or etched on reflective surfaces or highly textured color backgrounds.

With many pretrained fonts (some based on deep learning technology) included from a wide range of industries (dot matrix fonts, semi font, industrial fonts, hand written fonts, etc), customers can achieve excellent recognition rates “out of the box”. MVTec’s OCR tools scored a 0.65% error rate on the MNIST data set. MVTec’s software also provides time-saving tools and assistants for training custom fonts.


Another critical aspect of OCR, at which MVTec excels, is segmentation of characters from the image background. MVTec’s unique arbitrary regions of interest capability combined with their leading blob analysis tools and comprehensive image filtering techniques, allows developers to effectively isolate and extract characters from complex backgrounds resulting in more accurate character classification and better reading rates. Our software reads a single character in less than 0.1 ms.

Reading dot prints
Read dot prints on complex background.
Pre-trained fonts
Pre-trained standard fonts.
Pre-trained digits
Pre-trained handwritten digits.
Auto correction
Syntactic and lexicon-based auto correction.

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