Handwritten Character Recognition -A Comprehensive Review

Character recognition comes into picture when various patterns of handwritten or optical characters are to be recognized digitally. Many researchers have proposed different approaches for character recognition in different languages. In this paper, we have reviewed several techniques of character recognition. The main important phases of character recognition include pre-processing, segmentation, feature extraction and classification. Various feature extraction techniques and classification techniques have been surveyed in this paper and an attempt is made here to draw a conclusion regarding HCR techniques from the literature survey.