Abstract

Abstract: Steno is symbol of shorthand character which is used to record spoken word. court reporters use the steno language for quick recording of each moment in court room. Some stenographer can write 300 word per minute. many implementations has been done in recognition of different steno symbol into particular language. In this paper we recognize steno symbol (small script) into Indian language which is gujarati. HSCRG stands for Handwritten Steno Character Recognition In Gujarati. HSCRG Algorithm is a process of recognition steno symbol and extract it into equivalent gujarati character based on PCA and Logistic Regression. HSCRG is based on PCA and Logistic Regression accordingly unsupervised and supervised learning. These system mainly has five stages Preprocessing, Feature Selection, classification, Logistic Regression, Extract into gujarati character.

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