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274V7
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. 1970. \u201cThe Anatomy of Bangla OCR System for Printed Texts using Back Propagation Neural Network\u201d. Unknown Journal GJCST Volume 12 (GJCST Volume 12 Issue 6): .
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Total Score: 105
Country: Unknown
Subject: Uncategorized
Authors: Shamim Ahmed, A.K.M. Najmus Sakib, Ishtiaque Mahmud, Md. Habibullah Belali, Samiur Rahman (PhD/Dr. count: 0)
View Count (all-time): 163
Total Views (Real + Logic): 20898
Total Downloads (simulated): 10960
Publish Date: 1970 01, Thu
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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.
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