Handwritten character recognition using neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
| المؤلفون الرئيسيون: | , , , |
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| مؤلفون آخرون: | |
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
Brac University
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dspace.bracu.ac.bd/xmlui/handle/10361/14438 |
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10361-14438 |
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10361-144382022-01-26T10:08:18Z Handwritten character recognition using neural network Hussain, Shoumin Rafsun Nelema, Mahima Noor Kabir, Fahim M Patwary, Mohammad Rasheduzzaman Uddin, Jia Department of Computer Science and Engineering, Brac University Character recognition Handwritten character Professional Frame-work Security Parallelism 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 and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-33). Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic character is a growing area of study and has wide uses in banks, offices and industries. Our Main purpose for this initiative is to develop an professional framework for the defense Indus tries. In this method a specific character of languages can be effectively identified by following a sequence using neural network. Neural computers in corporate data parallelism, and run from the processing of an ordinary computer in a special way. Developments of a certain desirable quality which classifies the input data into classes are made by neural computers after the starting state information is obtained. Shoumin Rafsun Hussain Mahima Noor Nelema Fahim M Kabir Mohammad Rasheduzzaman Patwary B. Computer Science 2021-05-29T07:57:59Z 2021-05-29T07:57:59Z 2020 2020-04 Thesis ID 16101043 ID 20341035 ID 16101047 ID 16101023 http://dspace.bracu.ac.bd/xmlui/handle/10361/14438 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. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Character recognition Handwritten character Professional Frame-work Security Parallelism Neural Network Neural networks (Computer science) |
| spellingShingle |
Character recognition Handwritten character Professional Frame-work Security Parallelism Neural Network Neural networks (Computer science) Hussain, Shoumin Rafsun Nelema, Mahima Noor Kabir, Fahim M Patwary, Mohammad Rasheduzzaman Handwritten character recognition using neural network |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Hussain, Shoumin Rafsun Nelema, Mahima Noor Kabir, Fahim M Patwary, Mohammad Rasheduzzaman |
| format |
Thesis |
| author |
Hussain, Shoumin Rafsun Nelema, Mahima Noor Kabir, Fahim M Patwary, Mohammad Rasheduzzaman |
| author_sort |
Hussain, Shoumin Rafsun |
| title |
Handwritten character recognition using neural network |
| title_short |
Handwritten character recognition using neural network |
| title_full |
Handwritten character recognition using neural network |
| title_fullStr |
Handwritten character recognition using neural network |
| title_full_unstemmed |
Handwritten character recognition using neural network |
| title_sort |
handwritten character recognition using neural network |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14438 |
| work_keys_str_mv |
AT hussainshouminrafsun handwrittencharacterrecognitionusingneuralnetwork AT nelemamahimanoor handwrittencharacterrecognitionusingneuralnetwork AT kabirfahimm handwrittencharacterrecognitionusingneuralnetwork AT patwarymohammadrasheduzzaman handwrittencharacterrecognitionusingneuralnetwork |
| _version_ |
1814307346534367232 |