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Research Paper | Computer Science & Engineering | Bangladesh | Volume 2 Issue 12, December 2013
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
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Comparative Studies, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023
Pages: 194 - 199A Comparative Study of Analyzing Breast Cancer as Benign or Malignant using Machine Learning Algorithms
Nigel Jonathan Renny | Timothy William Richard | Dr. M. Maheswari
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Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 1480 - 1485Feature Selection for Handwriting Digit Recognition Using Convolutional Neural Network
Tarun Patel | Shivansh Tiwari | Vaibhav Dubey | Vaibhav Singh | Dr. Harvendra Kumar