• Dr. Sushama Shelke

The development of character recognition is an interesting area in pattern recognition. Character Recognition is a process by which a computer recognizes letters, numbers, or symbols and turns them into a digital form that a computer can use and it is an active field of research today. It comprises of Pattern Recognition and Image Processing. Character Recognition is broadly categorized into Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR). OCR system is most suitable for the applications like multi choice examinations, printed postal address resolution etc, while application of HCR is wider as compared to OCR. HCR system consists of a number of stages which are preprocessing, feature extraction, classification and followed by the actual recognition. Feature extraction and classification are essential steps of character recognition process affecting the overall accuracy of the recognition system. In this paper, system for Devanagari script recognition is discussed which separates the characters, extracts features and then recognizes the script.

Character recognition, segmentation, Feature extraction, CNN

"PRINTED DEVANAGARI SCRIPT RECOGNITION USING DIFFERENT CLASSIFIERS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.908-913, June 2019, Available :http://www.jetir.org/papers/JETIR1907731.pdf

"PRINTED DEVANAGARI SCRIPT RECOGNITION USING DIFFERENT CLASSIFIERS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp908-913, June 2019, Available at : http://www.jetir.org/papers/JETIR1907731.pdf