OPTICAL CHARACTER RECOGNITION FOR HINDI CHARACTER USING SVM
Hiren R. Vasava
(PG Student) Department of Information Technology, SSEC, Bhavnagar, India
(PG Student) Department of Information Technology, SSEC, Bhavnagar, India
Vol. 4, Issue 4 pp. 997-1001 🌐 Open Access
ABSTRACT
Optical Character Recognition is an evergreen area of research and widely used in different Real Time applications. This paper proposes a system for recognizing offline Handwritten Hindi Characters using Support Vector Machine(SVM). Data-Set are collected from different writers Preprocessing is done using various morphological operation and thinning technique. All the Training was done using self-created database consist of 50 samples per character from 50 different individuals. For Feature Extraction View Based Technique is used. Support vector machines found to be very efficient and robust in handling large amount of features, SVM was used for the purpose of classification
Keywords:
Optical Character Recognition(OCR), Feature Extraction, Support Vector Machine(SVM), Classification, Hindi Character recognition ,Preprocessing
