Volume 4, Issue 7

HANDWRITTEN CHARACTER RECOGNITION OF SIMILAR LOOKING LETTERS USING ANGULAR FEATURE EXTRACTION METHOD (20150764)

DOI :
Authors :
Abstracts : 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.
Pages : 1-4
Downloads : 114
Publication Date :
Modified Date : 2018-07-28
Cite/Export
APARNA S MENON , KALA L , "HANDWRITTEN CHARACTER RECOGNITION OF SIMILAR LOOKING LETTERS USING ANGULAR FEATURE EXTRACTION METHOD", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 4, Issue 7, ISSN : 2581-4230, Page No. 1-4
Peer reviewed