Abstract: Compound character recognition of Handwritten Devanagari is one of the challenging tasks due to its complexity as compare to many other scripts. Compound characters itself complex in structure. It is written with combination of two or more characters. The character may be formed with different sequence of combinations of basic characters, such as vowels and consonants. The recognition of compound characters makes this task more challenging to the researchers. The frequency of occurrence of compound characters in Marathi language is more as compared to other languages derived from devanagari script. The various researchers used different classification techniques such as Neural Network, Soft Computing, Seventh Central Moment, Multiclass SVM Classifier with orthogonal moment, wavelet transformation etc. This paper deals with the study of different classification techniques used for compound character recognition of handwritten Devanagari compound character.
Keywords: Devanagari, Compound Character.
Title: Handwritten Devanagari Compound Character Recognition: A Survey
Author: Pooja K. Araj, Prof. P. E. Ajmire
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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