HANDWRITTEN GURMUKHI CHARACTERS RECOGNITION

Authors

  • Er. Kulbir Kaur ,Er. Harpreet Kaur

Keywords:

Neural network(NN), Particle swarm optimization(PSO), Gabor filter, Iterations, GUI

Abstract

Recently there is growing trend among worldwide researchers to recognize handwritten characters of many languages and scripts.
Much of research work is done in English, Chinese and Japanese like languages. However, on Indian scripts, the research work is
comparatively lagging. The work on other Indian scripts is in beginning stage. In this thesis work I have done my work on
recognition of handwritten character of Gurumukhi script. Take samples on white papers written in an isolated manner. After
scanning, in preprocessing stage, the samples are converted to gray scale images. Then gray scale image is converted into binary
image. I also apply PSONN for increase the efficiency of character recognition.

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Published

2015-01-30

How to Cite

Er. Kulbir Kaur ,Er. Harpreet Kaur. (2015). HANDWRITTEN GURMUKHI CHARACTERS RECOGNITION. International Journal of Research Science and Management, 2(1), 8–15. Retrieved from http://ijrsm.com/index.php/journal-ijrsm/article/view/588

Issue

Vol. 2 No. 1 (2015)

Section

Articles