Segmentation Free Approach for the Recognition of Hindi Compound Characters
نویسندگان
چکیده
The recognition of Hindi Characters is of two types, one is simple characters recognition that comprises of consonants and vowels and second is compound characters recognition. The compound characters are those which are formed by joining of two or more consonants. So the recognition of compound characters is more difficult in comparison to that of simple characters due to their structure. This paper presents an approach for Hindi compound character recognition using various classifiers like QDC, LDC, KNNC, BPXNC, SVM and NMC. For computing the character’s features we took complete characters along with Shirorekha and without segmentation of characters. We obtained the recognition rate 65.28% of Hindi Compound Characters by using LDC classifier.
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