Bangali Handwritten characters classification using Deep Convolutional Neural Network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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| Язык: | en_US |
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Brac University
2022
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| Online-ссылка: | http://hdl.handle.net/10361/17653 |
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10361-176532023-01-24T09:10:42Z Bangali Handwritten characters classification using Deep Convolutional Neural Network Sikder, Shihab Uddin Muslebeen, Md. Shafiul Karim, Dewan Ziaul Saha, Ramkrishna Department of Computer Science and Engineering, Brac University Deep learning CNN Bangali characters Image processing DCNN Handwritten character recognition Bengali letters Bengali compound characters. Deep learning (Machine learning) Neural network. Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-40). Handwritten letter classification of any given language has the potential to be used in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex sets of mixed characters, poses significant complexities in terms of automatic recognition of characters. In the Bengali character set, there are over 360 distinct characters among which a lot of similarities are present between different characters. Thus, the classification of these characters gets harder as the recognition system incorporates all these distinct characters. In recent years, a lot of research has been done to solve this problem on isolated datasets with significant results. Continuing the advancement in im age processing, In this paper, we have proposed a custom CNN model which has been trained on Bangla Lekha Isolated dataset containing 1,66,106 images belong to 84 distinct classes with the capability to detect individual handwritten Bengali letters including digits, vowels, consonants and compound characters with 93.15% accuracy while using less number of parameters compared to existing popular models Shihab Uddin Sikder Md. Shafiul Muslebeen B. Computer Science 2022-12-15T09:34:01Z 2022-12-15T09:34:01Z 2022 2022-05 Thesis ID: 18301093 ID: 18301116 http://hdl.handle.net/10361/17653 en_US 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. 40 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Deep learning CNN Bangali characters Image processing DCNN Handwritten character recognition Bengali letters Bengali compound characters. Deep learning (Machine learning) Neural network. Neural networks (Computer science) |
| spellingShingle |
Deep learning CNN Bangali characters Image processing DCNN Handwritten character recognition Bengali letters Bengali compound characters. Deep learning (Machine learning) Neural network. Neural networks (Computer science) Sikder, Shihab Uddin Muslebeen, Md. Shafiul Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Karim, Dewan Ziaul |
| author_facet |
Karim, Dewan Ziaul Sikder, Shihab Uddin Muslebeen, Md. Shafiul |
| format |
Thesis |
| author |
Sikder, Shihab Uddin Muslebeen, Md. Shafiul |
| author_sort |
Sikder, Shihab Uddin |
| title |
Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| title_short |
Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| title_full |
Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| title_fullStr |
Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| title_full_unstemmed |
Bangali Handwritten characters classification using Deep Convolutional Neural Network |
| title_sort |
bangali handwritten characters classification using deep convolutional neural network |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17653 |
| work_keys_str_mv |
AT sikdershihabuddin bangalihandwrittencharactersclassificationusingdeepconvolutionalneuralnetwork AT muslebeenmdshafiul bangalihandwrittencharactersclassificationusingdeepconvolutionalneuralnetwork |
| _version_ |
1814309369098010624 |