A Novel Approach to Recognize Handwritten Gujarati Digits |
Author(s): |
Kamal Galdhariya , Shantilal Shah Engineeering College, Bhavnagar; Khushali Raval, Shantilal Shah Engineering College, Bhavnagar; Shardul Agravat, Shantilal Shah Engineering College, Bhavnagar |
Keywords: |
Handwritten Character Recognition (HCR), Recognize Handwritten Gujarati Digits |
Abstract |
Handwritten Character Recognition (HCR) is one of the applications of pattern recognition which can be online or offline. HCR systems convert handwriting into letter codes. Because of its large differences in writing style, context-independency and high recognition accuracy requirement, handwritten digits identification is still a very difficult problem. Analyzing the characteristic of handwritten digits, this paper proposes a new handwritten digit identification method based on combining structural features. Given a handwritten digit, a variety of structural features of the digit including bounded region, number and position of end points are identified using structural identification algorithms. Recognition of digits is done using decision tree. |
Other Details |
Paper ID: NCACSETT4P063 Published in: Conference 10 : NCACSET 2017 Publication Date: 06/05/2017 Page(s): 26-29 |
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