Isolated bangla handwritten character & digit recognition using convolutional neural network

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

書誌詳細
主要な著者:	Alif, Mujadded Al Rabbani, Ahmed, Sabbir, Aninda, Aleo, Das, Tanoy Kumar
その他の著者:	Mostakim, Moin
フォーマット:	学位論文
言語:	English
出版事項:	BRAC University 2018
主題:	Neural network Handwritten character Digit recognition
オンライン･アクセス:	http://hdl.handle.net/10361/8870

id	10361-8870
record_format	dspace
spelling	10361-88702022-01-26T10:21:50Z Isolated bangla handwritten character & digit recognition using convolutional neural network Alif, Mujadded Al Rabbani Ahmed, Sabbir Aninda, Aleo Das, Tanoy Kumar Mostakim, Moin Department of Computer Science and Engineering, BRAC University Neural network Handwritten character Digit recognition This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (page 36-36). This paper proposes a mechanism of Handwritten Letter and Digit Recognition (HLDR) to decipher images of Bangla handwritten characters into electronically editable format, which holds an important role in augmenting and digitalizing many analog application, which will not only paves the way to further research but also have many practical applications in current times.The mechanisms of HLDR has been studied broadly in the last half century, moreover, the rapid growth of computational power and main memory breaks the barrier and gives the opportunity for the implementation of more efficient and complex HLDR methodologies, which creates an increasing demand on many forthcoming application domains. In the field of pattern recognition one of the most productive way of achieving higher accuracy or lower error rate is to adopt an architecture that is deep, optimized and can process a large number of data. Therefore, this paper propose that using deeper residual network [1](ResNet) architecture and recently released Bangla-lekha dataset [2], we can achieve a result which is higher than any research that has been done before. Mujadded Al Rabbani Alif Sabbir Ahmed Aleo Aninda Tanoy Kumar Das B. Computer Science and Engineering 2018-01-02T09:30:18Z 2018-01-02T09:30:18Z 2017 2017 Thesis ID 13301066 ID 13301109 ID 13301113 ID 13301123 http://hdl.handle.net/10361/8870 en BRAC University thesis 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. 36 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Neural network Handwritten character Digit recognition
spellingShingle	Neural network Handwritten character Digit recognition Alif, Mujadded Al Rabbani Ahmed, Sabbir Aninda, Aleo Das, Tanoy Kumar Isolated bangla handwritten character & digit recognition using convolutional neural network
description	This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
author2	Mostakim, Moin
author_facet	Mostakim, Moin Alif, Mujadded Al Rabbani Ahmed, Sabbir Aninda, Aleo Das, Tanoy Kumar
format	Thesis
author	Alif, Mujadded Al Rabbani Ahmed, Sabbir Aninda, Aleo Das, Tanoy Kumar
author_sort	Alif, Mujadded Al Rabbani
title	Isolated bangla handwritten character & digit recognition using convolutional neural network
title_short	Isolated bangla handwritten character & digit recognition using convolutional neural network
title_full	Isolated bangla handwritten character & digit recognition using convolutional neural network
title_fullStr	Isolated bangla handwritten character & digit recognition using convolutional neural network
title_full_unstemmed	Isolated bangla handwritten character & digit recognition using convolutional neural network
title_sort	isolated bangla handwritten character & digit recognition using convolutional neural network
publisher	BRAC University
publishDate	2018
url	http://hdl.handle.net/10361/8870
work_keys_str_mv	AT alifmujaddedalrabbani isolatedbanglahandwrittencharacterdigitrecognitionusingconvolutionalneuralnetwork AT ahmedsabbir isolatedbanglahandwrittencharacterdigitrecognitionusingconvolutionalneuralnetwork AT anindaaleo isolatedbanglahandwrittencharacterdigitrecognitionusingconvolutionalneuralnetwork AT dastanoykumar isolatedbanglahandwrittencharacterdigitrecognitionusingconvolutionalneuralnetwork
_version_	1814309549530677248

Isolated bangla handwritten character & digit recognition using convolutional neural network

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