CVSep 5, 2021

Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition

arXiv:2109.02153v10.003 citations
AI Analysis15

This addresses character recognition for Malayalam script, an incremental contribution to a domain-specific problem.

The paper tackled handwritten Malayalam character recognition by selecting spatial domain features and using classifiers like k-NN, SVM, and ELM, but no concrete results or numbers were provided.

Handwritten character recognition is an active research challenge,especially for Indian scripts. This paper deals with handwritten Malayalam, with a complete set of basic characters, vowel and consonant signs and compound characters that may be present in the script. Spatial domain features suitable for recognition are chosen in this work. For classification, k-NN, SVM and ELM are employed

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