Offline Handwritten Character Recognition of Gujrati script using Pattern Matching

During the last forty years, handwritten character recognition (HCR) has most often been investigated under the framework of character recognition (OCR) and pattern recognition. HCR is more considered as a perceptual and interpretation task closely connected with research into human language. India is a country which uses many languages in the different parts of the country be it for personal use or use of business. In this study we propose a novel solution for performing character recognition in Gujrati, the official language of Gujarat. Pursued by the preprocessing techniques, we suggest a method called pattern matching where a character is identified by analyzing its shape and comparing its features that distinguish each character. Various handwritten characters from forms or peripheral devices etc. are recognized with the help of various pre-processing and image enhancement techniques. These characters are further more specifically recognized by pattern matching using neural network.