Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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Brac University
2024
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Առցանց հասանելիություն: | http://hdl.handle.net/10361/23540 |
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10361-235402024-06-24T21:04:06Z Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters Bhuiyan, Md Raihanul Islam Efaz, Mahin Shahriar Reza, Tanjim Ria, Aditi Saha Hossain, Muhammad Iqbal Reza, Md. Tanzim Department of Computer Science and Engineering, Brac University Bangla text recognition Compound characters BanglaBorno VGG16 architecture Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-41). Bangla is one of the most popular languages in the world and more than 210 Million people use it as their first or second language. The literature of Bangla has a rich history and dates back thousands of years. However, Bangla characters have a compound structure; some contain more than one simple character to form a single compound character. There is a lot of work on character recognition but the structure of the compound characters makes the detection of Bangla Compound Characters a difficult task. The existing method on Bangla compound characters uses a list of compound characters as the dataset, trains models on the whole image, and detects the characters. Using this method on handwritten characters, the accuracy decreases when the characters are slightly different from the train images or the characters consist of two different simple characters that are not in the train images. To overcome this problem, our research focus is to detect character type i.e. simple or compound using VGG 16 architecture and YOLO, and if it is a compound character, it can detect the underlying simple characters inside the compound characters. To conduct our research, we created a new Bengali Handwritten character dataset called “BanglaBorno” as the existing datasets had some limitations in the quantity of compound characters or the quality of the images. Md Raihanul Islam Bhuiyan Mahin Shahriar Efaz Tanjim Reza Aditi Saha Ria B.Sc in Computer Science 2024-06-24T04:54:41Z 2024-06-24T04:54:41Z ©2023 2023-09 Thesis ID 23341083 ID 23341084 ID 20101065 ID 23341085 http://hdl.handle.net/10361/23540 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. 53 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Bangla text recognition Compound characters BanglaBorno VGG16 architecture Machine learning |
spellingShingle |
Bangla text recognition Compound characters BanglaBorno VGG16 architecture Machine learning Bhuiyan, Md Raihanul Islam Efaz, Mahin Shahriar Reza, Tanjim Ria, Aditi Saha Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
author2 |
Hossain, Muhammad Iqbal |
author_facet |
Hossain, Muhammad Iqbal Bhuiyan, Md Raihanul Islam Efaz, Mahin Shahriar Reza, Tanjim Ria, Aditi Saha |
format |
Thesis |
author |
Bhuiyan, Md Raihanul Islam Efaz, Mahin Shahriar Reza, Tanjim Ria, Aditi Saha |
author_sort |
Bhuiyan, Md Raihanul Islam |
title |
Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
title_short |
Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
title_full |
Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
title_fullStr |
Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
title_full_unstemmed |
Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters |
title_sort |
segmentation of bangla compound characters: underlying simple character detection from handwritten compound characters |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/23540 |
work_keys_str_mv |
AT bhuiyanmdraihanulislam segmentationofbanglacompoundcharactersunderlyingsimplecharacterdetectionfromhandwrittencompoundcharacters AT efazmahinshahriar segmentationofbanglacompoundcharactersunderlyingsimplecharacterdetectionfromhandwrittencompoundcharacters AT rezatanjim segmentationofbanglacompoundcharactersunderlyingsimplecharacterdetectionfromhandwrittencompoundcharacters AT riaaditisaha segmentationofbanglacompoundcharactersunderlyingsimplecharacterdetectionfromhandwrittencompoundcharacters |
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