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
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)