OPTICAL CHARACTER RECOGNITION FOR HINDI CHARACTER USING SVM

Authors

  • Hiren R. Vasava (PG Student) Department of Information Technology, SSEC, Bhavnagar

Keywords:

Optical Character Recognition(OCR), Feature Extraction, Support Vector Machine(SVM), Classification, Hindi Character recognition ,Preprocessing

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

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Published

2017-04-25

How to Cite

Hiren R. Vasava. (2017). OPTICAL CHARACTER RECOGNITION FOR HINDI CHARACTER USING SVM. International Journal of Advance Research in Engineering, Science & Technology, 4(4), 997–1001. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1373

Issue

Vol. 4 No. 4 (2017): Volume: 04, Issue: 04 - April, 2017.

Section

Articles