International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 121 | Views: 200

Research Paper | Computer Science & Engineering | Bangladesh | Volume 2 Issue 12, December 2013 | Rating: 6.1 / 10

Enhancing the Character Segmentation Accuracy of Bangla OCR using BPNN

Shamim Ahmed [2] | Mohammod Abul Kashem

Abstract: Bangla is one of the most popular scripts in the world, the second most popular language in the Indian subcontinent. About 200 million people of eastern India and Bangladesh use this language, making it fourth most popular in the world. We study and examine the various kinds of problems or limitations that arise during the segmentation of Bangla characters and try to minimize that problems or limitations. The main aim of this proposed research is to improving the character segmentation (line, word, and character segmentations) accuracy of Bangla Optical Character Recognition (OCR) system by using Artificial Neural Network as a Back Propagation Neural Network (BPNN) algorithm.

Keywords: Artificial Neural Network, character segmentation, line segmentation, optical character recognition, pre-processing, word segmentation

Edition: Volume 2 Issue 12, December 2013,

Pages: 157 - 161

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait