Intelligent Character Recognition system for visually impaired people
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.
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| Lingua: | English |
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BARC University
2018
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| Accesso online: | http://hdl.handle.net/10361/9115 |
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10361-91152019-09-30T03:10:40Z Intelligent Character Recognition system for visually impaired people Alam, Md. Sabbir Faisal, Bhuiyan Washek Hasan, Mohammad Al Imran Sagor, Dr. Md. Hasanuzzaman Das, Mr. Avijit Department of Electrical and Electronic Engineering, BRAC University Optical Character Recognition Intelligent Character Recognition Artificial intelligence Visually impaired people This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (page 57). The project is to develop a system, which use optical character recognition (OCR) software to detect words, line and paragraph, pronounce that accordingly. Furthermore to help a visually impaired people. We also added few extra features like voice control switching which execute with respect to given command. This system will help blind people with their daily necessary things. Seeing rising number electronic device made in different aspect of life, ICR system help listening text which are written on paper and help household switching control. Current systems, however, have problems with complexity, high costs, non-open sources and multiple incompatible standards. This project intends to design an open source, reasonably priced and way easy to use ICR, which will be done by interfacing the open source Arduino, Raspberry Pi microcontroller; creating a simple, easy-to-use system to help blind people. The project was carried out in quite a few stages. Firstly, Arduino is the first set for rolling paper on the tray for taking image of the document. Next, webcam will take image to the Raspberry Pi and matching image with its own library for filter and processing its word, text, line and paragraph. Intelligent character recognition is specially used for recognizing typed letter. Last of all, it will convert image as an audio file and gives output to the headphone. Blind people can listen the audio. We used power bank for its power. There are more extra feature added for better communication like home switching like controlling light on/off and fan on/off with the help of voice command. Md. Sabbir Alam Bhuiyan Washek Faisal Mohammad Al Imran Hasan B. Electrical and Electronic Engineering 2018-01-21T06:18:19Z 2018-01-21T06:18:19Z 2017 2017-12 Thesis ID 11121067 ID 11121078 ID 11121070 http://hdl.handle.net/10361/9115 en BRAC University thesis is 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. 57 pages application/pdf BARC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Optical Character Recognition Intelligent Character Recognition Artificial intelligence Visually impaired people |
| spellingShingle |
Optical Character Recognition Intelligent Character Recognition Artificial intelligence Visually impaired people Alam, Md. Sabbir Faisal, Bhuiyan Washek Hasan, Mohammad Al Imran Intelligent Character Recognition system for visually impaired people |
| description |
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017. |
| author2 |
Sagor, Dr. Md. Hasanuzzaman |
| author_facet |
Sagor, Dr. Md. Hasanuzzaman Alam, Md. Sabbir Faisal, Bhuiyan Washek Hasan, Mohammad Al Imran |
| format |
Thesis |
| author |
Alam, Md. Sabbir Faisal, Bhuiyan Washek Hasan, Mohammad Al Imran |
| author_sort |
Alam, Md. Sabbir |
| title |
Intelligent Character Recognition system for visually impaired people |
| title_short |
Intelligent Character Recognition system for visually impaired people |
| title_full |
Intelligent Character Recognition system for visually impaired people |
| title_fullStr |
Intelligent Character Recognition system for visually impaired people |
| title_full_unstemmed |
Intelligent Character Recognition system for visually impaired people |
| title_sort |
intelligent character recognition system for visually impaired people |
| publisher |
BARC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9115 |
| work_keys_str_mv |
AT alammdsabbir intelligentcharacterrecognitionsystemforvisuallyimpairedpeople AT faisalbhuiyanwashek intelligentcharacterrecognitionsystemforvisuallyimpairedpeople AT hasanmohammadalimran intelligentcharacterrecognitionsystemforvisuallyimpairedpeople |
| _version_ |
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