Best approach to detect read numbers from 1 to 99
Hi !
I'm currently using OpenCV to detect things on a video and those things have sometime a number printed on, which I want to read. Theses numbers could be from 1 to 99 and I'm able to extract them in a binary image as :
http://vps166675.ovh.net/img126.jpg.b... http://vps166675.ovh.net/img130.jpg.b... http://vps166675.ovh.net/img101.jpg.b...
I try these approches : - Cascade classification using HAAR and HOG classifier : very poor results even if I work with ~500 positives images and thousands of negatives (I train these classifier using gray-scale images) - Tesseract OCR, but, even with these binary images, and even if I told him that there is only digits, it reads 3 as many as 8, so it is not reliable (And it actually reads nothing most of the time).
Have you any advice to handle these case ? Maybe a feature type that I don't try ? A hack using hough line detection or things like that ?
Thank you in advance.
Damien.
https://www.learnopencv.com/handwritt...