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

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.