Detection of handwritten text using convolutional neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

書目詳細資料
Main Authors:	Jasim, Rabib Bin, Mahin, Rokeya Sultana
其他作者:	Uddin, Jia
格式:	Thesis
語言:	English
出版:	Brac University 2024
主題:	Convolutional neural network Machine learning Text-line extraction Deep learning Neural networks (Computer science) Data mining
在線閱讀:	http://hdl.handle.net/10361/23084

id	10361-23084
record_format	dspace
spelling	10361-230842024-06-03T21:05:40Z Detection of handwritten text using convolutional neural network Jasim, Rabib Bin Mahin, Rokeya Sultana Uddin, Jia Department of Computer Science and Engineering, Brac University Convolutional neural network Machine learning Text-line extraction Deep learning Neural networks (Computer science) Data mining This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (page 23). Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. We have tried to make it more obvious through a hand writing recognition system. This research paper describes a text-line extraction based method. It offers a new solution to traditional handwriting recognition techniques using concepts of Deep learning and computer vision. An image can have hand writing, typed letters, different characters and other images. Our intention is to detect all the characters and display them. Some images can also have unnecessary lines or unclear letters. This system will clear the picture through pre-processing system and will be able to identify the letters or characters. It will help people to identify any unclear messages. It will also avoid unnecessary images and will focus on the text only. Sometimes we want to ignore unnecessary advertisement images from the newspapers. Our system will do a great work for this. It will clear all the images and unnecessary lines etc. and will only display the text what people want to read. Rabib Bin Jasim Rokeya Sultana Mahin B.Sc in Computer Science 2024-06-03T06:24:53Z 2024-06-03T06:24:53Z ©2019 2019-04 Thesis ID 12221015 ID 15101135 http://hdl.handle.net/10361/23084 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. 35 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Convolutional neural network Machine learning Text-line extraction Deep learning Neural networks (Computer science) Data mining
spellingShingle	Convolutional neural network Machine learning Text-line extraction Deep learning Neural networks (Computer science) Data mining Jasim, Rabib Bin Mahin, Rokeya Sultana Detection of handwritten text using convolutional 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, 2019.
author2	Uddin, Jia
author_facet	Uddin, Jia Jasim, Rabib Bin Mahin, Rokeya Sultana
format	Thesis
author	Jasim, Rabib Bin Mahin, Rokeya Sultana
author_sort	Jasim, Rabib Bin
title	Detection of handwritten text using convolutional neural network
title_short	Detection of handwritten text using convolutional neural network
title_full	Detection of handwritten text using convolutional neural network
title_fullStr	Detection of handwritten text using convolutional neural network
title_full_unstemmed	Detection of handwritten text using convolutional neural network
title_sort	detection of handwritten text using convolutional neural network
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/23084
work_keys_str_mv	AT jasimrabibbin detectionofhandwrittentextusingconvolutionalneuralnetwork AT mahinrokeyasultana detectionofhandwrittentextusingconvolutionalneuralnetwork
_version_	1814309665734918144

Detection of handwritten text using convolutional neural network

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