Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition

• URL: http://arxiv.org/abs/2109.02153v1
• Date: Sun, 5 Sep 2021 19:21:38 GMT
• Title: Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition
• Authors: Jomy John
• Abstract summary: This paper deals with handwritten Malayalam, with a complete set of basic characters, vowel and consonant signs and compound characters. For classification, k-NN, SVM and ELM are employed.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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