Marathi numeral recognition using statistical distribution features
Madhav V. Vaidya, Yashwant Joshi · 2015
Optical character recognition (OCR) is very old topic of research still needs much improvement. OCR system deals with the machines, so the new methodologies are to be found out to increase the overall performance of the character recognition system. This paper deals with the recognition of Devanagari (Marathi) numerals. After preprocessing the image and converting it to binary the statistical features for individual numeral can be calculated. Based on these features the numerals are classified into appropriate groups. In classification method using histogram feature matching, the numbers like three and six can be misclassified as they are having similar histogram. In the proposed system overall performance of classification can be improved if more number of features are compared. The system used in this paper is better as compared to simple histogram matching criteria.