Bangla text extraction by digital image processing
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| Формат: | Дисертація |
| Мова: | English |
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2018
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| Онлайн доступ: | http://hdl.handle.net/10361/10142 |
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10361-10142 |
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10361-101422022-01-26T10:13:16Z Bangla text extraction by digital image processing Hoque, A. K. M Rashedul Pandit, Proma Mrittika Nasreen, Najia Raihan, Hasin Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Image processing Text extraction Bangla language This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-34). Optical character recognition (OCR) is a technology to extract the text from an image. The main purpose of an OCR is to make editable text documents from different scanned documents, image files or books. In this paper, we would discuss the process to develop an OCR for Bangla language. Bangla script contains different shapes and sizes of text. Therefore, extraction of Bengali text from images becomes challenging. In this paper, we would discuss the process of developing an OCR for Bengali language, we focus on the training data preparation process, Tesseract integration procedure for character recognition and the post-processing techniques. Before the recognition step, few preprocessing steps are needed like noise removal, convert to gray scale and binarization for scanned documents. In this paper, we present the basic steps required for developing a Bangla OCR and a complete workflow for development process with the probable errors encountered during recognition using several techniques. We used Tesseract version 3.04 for windows operating system and ‘NIKOSH’ Bangla font in this project. For clear documents, around 95% word level recognition accuracy has been obtained. A. K. M Rashedul Hoque Proma Mrittika Pandit Najia Nasreen Hasin Raihan B. Computer Science and Engineering 2018-05-14T06:32:34Z 2018-05-14T06:32:34Z 2017 2017-12 Thesis ID 13301049 ID 13301032 ID 13301050 ID 13301102 http://hdl.handle.net/10361/10142 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. 34 pages application/pdf |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Text extraction Bangla language |
| spellingShingle |
Image processing Text extraction Bangla language Hoque, A. K. M Rashedul Pandit, Proma Mrittika Nasreen, Najia Raihan, Hasin Bangla text extraction by digital image processing |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Hoque, A. K. M Rashedul Pandit, Proma Mrittika Nasreen, Najia Raihan, Hasin |
| format |
Thesis |
| author |
Hoque, A. K. M Rashedul Pandit, Proma Mrittika Nasreen, Najia Raihan, Hasin |
| author_sort |
Hoque, A. K. M Rashedul |
| title |
Bangla text extraction by digital image processing |
| title_short |
Bangla text extraction by digital image processing |
| title_full |
Bangla text extraction by digital image processing |
| title_fullStr |
Bangla text extraction by digital image processing |
| title_full_unstemmed |
Bangla text extraction by digital image processing |
| title_sort |
bangla text extraction by digital image processing |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10142 |
| work_keys_str_mv |
AT hoqueakmrashedul banglatextextractionbydigitalimageprocessing AT panditpromamrittika banglatextextractionbydigitalimageprocessing AT nasreennajia banglatextextractionbydigitalimageprocessing AT raihanhasin banglatextextractionbydigitalimageprocessing |
| _version_ |
1814308053527298048 |