Online Handwritten Strokes Recognition using Support Vector Machines

A Statistical Approach for Online Handwritten Devanagari Strokes Recognition

Authors

  • Sukhdeep Singh

Keywords:

online handwritten strokes recognition, support vector machines, handwriting recognition, offline handwriting recognition, Indic scripts, Devanagari strokes, statistical recognition technique, upper zone Devanagari classes, middle zone Devanagari classes, lower zone Devanagari classes

Abstract

Handwriting recognition can be viewed in two forms as offline and online handwriting recognition. This study has been done for online handwriting recognition. The present work is a step for online handwriting recognition in Indic scripts. This paper recognizes online handwritten Devanagari strokes using a statistical recognition technique Support Vector Machines. The results have been achieved as 93.27, 89.12 and 99.08 for upper, middle and lower zone Devanagari classes, respectively.

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Published

2018-09-01

How to Cite

[1]
“Online Handwritten Strokes Recognition using Support Vector Machines: A Statistical Approach for Online Handwritten Devanagari Strokes Recognition”, JASRAE, vol. 15, no. 7, pp. 261–263, Sep. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8686

Issue

Vol. 15 No. 7 (2018): Journal of Advances and Scholarly Researches in Allied Education (JASRAE)

Section

Articles

How to Cite

[1]
“Online Handwritten Strokes Recognition using Support Vector Machines: A Statistical Approach for Online Handwritten Devanagari Strokes Recognition”, JASRAE, vol. 15, no. 7, pp. 261–263, Sep. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8686