Abstract

This paper presents an approach to recognize off-line Bangla numeral. Today there are many OCR used to recognize Bangla numeral. The recognition of handwritten character is still a challenging work in the field of pattern recognition. Numeral recognition in pattern recognition is the process to identify the given character according to the predefined character set. The difficulties of recognition of handwritten Bangla numeral are that they are different in shapes and sizes which are much curved in nature. . We try to establish a process to recognize such handwritten Bangla numerals having different shape and size. The input scanned image is first to be binarized. Then we have segmented all the ten digits of Bangla numerals to identify each and individual digit from a scanned image. We have used line segmentation to extract the feature from each numeral based on templates. A high correlation coefficient method provides a successful match between the test data and training data.

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