• Juhee Sachdeva
• Dr. Shilpa Sharma

Character recognition of Devanagari compound characters is a difficult task because characters are written in half forms of original characters. In this paper, we present OCR for HandwrittenDevanagari compoundcharacter. Recognition of Devanagari compound characters consists of three main phasesPreprocessing,Feature Extraction and Classification. During last few decades many research has been conducted to find a solution for Character recognition as it is a solution for many real world problems. The major problem for processing large volume of data can be solved.Work has been done in recognizing handwritten characters in Languages like English,Chinese,Japanese and Arabic. This paper focuses on the recognition of Devanagari compound characters. The feature extraction stage uses Zernike Moments based feature extraction technique that analyzes and select set of features that can be used to uniquely identify the character. Zernike Moment based techniques uses rotation invariance that is successfully applied to many Pattern Recognition problems and character recognition system. Moment based system uses global features that is suitable for compound character recognition. For classification phase, Support Vector Machine is used . The system reported a high recognition rate of accuracy.

Compoundcharacters, Pattern Recognition,Zernike Moments,Support Vector Machine

"Handwritten Devanagari Compound Character Recognition Using Zernike Moment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.265-269, May 2019, Available :http://www.jetir.org/papers/JETIRCU06053.pdf

"Handwritten Devanagari Compound Character Recognition Using Zernike Moment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp265-269, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06053.pdf