Handwritten Character Recognition - A Comprehensive Review

Abstract

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 preprocessing, 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.

Authors and Affiliations

Mahesh M Goyani, Harsh Dani, Chahna Dixit

Keywords

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  • EP ID EP27645
  • DOI -
  • Views 388
  • Downloads 4

How To Cite

Mahesh M Goyani, Harsh Dani, Chahna Dixit (2013). Handwritten Character Recognition - A Comprehensive Review. International Journal of Research in Computer and Communication Technology, 2(9), -. https://europub.co.uk/articles/-A-27645