An efficient handwritten Bangla character recognition system using computer vision and natural language processing
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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| Dil: | English |
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Brac University
2024
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| Online Erişim: | http://hdl.handle.net/10361/24216 |
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10361-242162024-09-29T21:02:29Z An efficient handwritten Bangla character recognition system using computer vision and natural language processing Aishi, Tanusree Das Iltimas, Md. Seam Wakil, Mirza Azwad Barua, Pritam Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Character recognition Computer vision Graphemes NLP Natural language processing. Computer vision. Optical Character Recognition. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 51-52). An efficient handwritten character recognition system for an alpha-syllabary language like Bangla has always been a challenging issue. Despite being in demand, the number of papers being conducted on this was very infrequent. Alongside computer vision, our paper proposes the idea of using grapheme segmentation approach to create an effective system for handwritten Bangla character recognition. The system profoundly deals with the image of handwritten Bangla characters to preprocess through Computer Vision. To achieve the efficiency, we have segregated each Bangla word into grapheme roots and diacritics, whether its simple or compound character. Through these segments, we compare the roots and diacritics individually with the given dataset to recognise the characters. Thus, this system is capable of coping up with the limitations that previous models have by recognising any handwritten Bangla characters efficiently with great accuracy of 0.98357, 0.98208 and 0.94325 for vowel diacritics, consonant diacritics and grapheme root respectively. For proper reconstructed grapheme representation as output, we have approached a reconstruction method with grapheme segmentation. Thus, the implementation of efficient handwritten character recognition was achieved by computer vision and grapheme approach from NLP. Tanusree Das Aishi Md. Seam Iltimas Mirza Azwad Wakil Pritam Barua B.Sc. in Computer Science 2024-09-29T03:56:44Z 2024-09-29T03:56:44Z ©2023 2023-09 Thesis ID 20101012 ID 20301036 ID 20101063 ID 20101291 http://hdl.handle.net/10361/24216 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 66 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Character recognition Computer vision Graphemes NLP Natural language processing. Computer vision. Optical Character Recognition. |
| spellingShingle |
Character recognition Computer vision Graphemes NLP Natural language processing. Computer vision. Optical Character Recognition. Aishi, Tanusree Das Iltimas, Md. Seam Wakil, Mirza Azwad Barua, Pritam An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Aishi, Tanusree Das Iltimas, Md. Seam Wakil, Mirza Azwad Barua, Pritam |
| format |
Thesis |
| author |
Aishi, Tanusree Das Iltimas, Md. Seam Wakil, Mirza Azwad Barua, Pritam |
| author_sort |
Aishi, Tanusree Das |
| title |
An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| title_short |
An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| title_full |
An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| title_fullStr |
An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| title_full_unstemmed |
An efficient handwritten Bangla character recognition system using computer vision and natural language processing |
| title_sort |
efficient handwritten bangla character recognition system using computer vision and natural language processing |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/24216 |
| work_keys_str_mv |
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