Abstract
Image processing is one of the most popular field nowadays. Recognition of the offline isolated handwritten characters is an area which got lot of attention within the field of Image Processing. Various techniques have been proposed in the area of online and offline handwritten character recognition (HCR). In future HCR is the key factor for the transformation of written or printed text into system understandable format. Thus, providing a boost to digitization era. Gujarati is one such language which has many challenges in creation of an accurate OCR. Researchers have achieved good accuracy in the field of online Gujarati handwritten character recognition. This paper introduces a pattern recognition system which is able to recognize isolated offline Gujarati handwritten characters with higher accuracy. Experiments have been done on sub set of ( g, `, l, x, h ) consonants using a total data set of 6750 handwritten consonants by different individuals. The experimental results achieved a markable contribution in the field of handwritten character recognition.
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