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This paper is based on Bangla (National Language of Bangladesh) Optical Character Recognition process for printed texts and its steps using Back Propagation Neural Network. Bangla character recognition is very important field of research because Bangla is most popular language in the Indian subcontinent. Pre-processing steps that follows are Image Acquisition, binarization, background removal, noise elimination, skew angle detection and correction, noise removal, line, word and character segmentations. In the post processing steps various features are extracted by applying DCT (Discrete Cosine Transform) from segmented characters. The segmented characters are then fed into a three layer feed forward Back Propagation Neural Network for training. Finally this network is used to recognize printed Bangla scripts.
Shamim Ahmed, A.K.M. Najmus Sakib, ishty_ju, habib17_cse, Samiur Rahman. 1970. "The Anatomy of Bangla OCR System for Printed Texts using Back Propagation Neural Network". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 6).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 145
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology
Authors: Shamim Ahmed, A.K.M. Najmus Sakib, Ishtiaque Mahmud, Md. Habibullah Belali, Samiur Rahman (PhD/Dr. count: 0)
View Count (all-time): 410
Total Views (Real + Logic): 5543
Total Downloads (simulated): 462
Publish Date: 2012 05, Tue
Monthly Totals (Real + Logic):
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