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Novel SVD based character recognition approach for Malayalam language script

Publication Type : Journal Article

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : Springer

Source : Recent Advances in Intelligent Systems and Computing, Springer, Vol 235, pp 435-442, Jan 2014

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927615136&partnerID=40&md5=74af95fd24456c6b056a6b20980e27ed

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication

Year : 2014

Abstract : The research on character recognition for Malayalam script dates back to 1990’s. Compared to other Indian languages the research and developments on OCR reported for Malayalam script is very less. The character level and word level accuracy of the existing OCR tools for Indian languages can be improved by implementing robust character recognition and post-processing algorithms. In this paper, we are proposing a character recognition procedure based on Singular Value Decomposition (SVD) and k- Nearest Neighbor classifier (k-NN). The proposed character recognition scheme tested with the dataset created from Malayalam literature books and it could classify 94% of character images accurately. © Springer International Publishing Switzerland 2014

Cite this Research Publication : Sachin Kumar S, Manjusha K, KP Soman, Novel SVD based Character Recognition Approach for Malayalam Language Script, Recent Advances in Intelligent Systems and Computing, Springer, Vol 235, pp 435-442, Jan 2014 (Scopus)

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