HANDWRITTEN CHARACTER RECOGNITION OF SIMILAR LOOKING LETTERS USING ANGULAR FEATURE EXTRACTION METHOD

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Published Feb 19, 2021
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Vol. 4 No. 07 (2018): journalnx

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APARNA S MENON
Research Student, Electronics and Communication Dept. NSS College of Engineering, Palakkad, Kerala, India
KALA L
Associate Professor, Electronics and Communication Dept. NSS College of Engineering, Palakkad, Kerala, India.

Abstract

Classification of similar looking handwritten characters in Indian languages is challenging. Especially in the case of Malayalam, a Dravidian language from the Brahmic script which is characterized by its highly curvy and looped nature.  So by considering such a nature of the language, a new feature extraction method in the field of HCR (Handwritten Character Recognition) named as Angular Method is used by using fuzzy logic classifiers with k –NN algorithm.

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How to Cite
APARNA S MENON, & KALA L. (2021). HANDWRITTEN CHARACTER RECOGNITION OF SIMILAR LOOKING LETTERS USING ANGULAR FEATURE EXTRACTION METHOD. JournalNX - A Multidisciplinary Peer Reviewed Journal, 4(07), 1–4. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/2002