The Anatomy of Bangla OCR System for Printed Texts using Back Propagation Neural Network

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Shamim Ahmed
Shamim Ahmed M.Sc. in Computer Science
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A.K.M. Najmus Sakib
A.K.M. Najmus Sakib
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Ishtiaque Mahmud
Ishtiaque Mahmud
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Md. Habibullah Belali
Md. Habibullah Belali
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Samiur Rahman
Samiur Rahman
α Dhaka International University

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The Anatomy of Bangla OCR System for Printed Texts using Back Propagation Neural Network

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Abstract

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.

References

19 Cites in Article
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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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v1.2

Issue date

March 27, 2012

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en
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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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The Anatomy of Bangla OCR System for Printed Texts using Back Propagation Neural Network

Shamim Ahmed
Shamim Ahmed Dhaka International University
A.K.M. Najmus Sakib
A.K.M. Najmus Sakib
Ishtiaque Mahmud
Ishtiaque Mahmud
Md. Habibullah Belali
Md. Habibullah Belali
Samiur Rahman
Samiur Rahman

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