Handwritten and Printed Devanagari Compound using Multiclass SVM Classifier with Orthogonal moment Feature

Handwritten Devanagari character plays a vital role in the research area. Number of technique has been adopted in previous decades and still some new are arising to get good results from recognition system. In Devanagari, Compound character are complex in structure, they are written by combination two or more character. Due to complex structure in it, it gives a challenging task to the researchers. The occurrence of compound in the script is upto 8 to 10%. In this research paper, a recognition system for handwritten and printed Devanagari Compound Character is proposed bases on orthogonal moment i. e. Legendre and Zernike moment as a feature are used to recognize the Devanagari character. The character image is preprocessed and normalized to 30X30 pixel sizes, and used for structural classification where the character is classified into three classes. After classifying the character it is partitioned and