Traditional OCR

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.