A study of neural network and multi-channel handwritten isolated digit recognition

Recognition of handwritten digits/characters is an important and necessary step in many documents processing application and this has been a popular topic of research for many years. Many approaches and significant research efforts have been proposed and made to solve this problem. Some use only the...

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Main Author: Zhao, Wei.
Other Authors: Teoh, Eam Khwang
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4030
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-40302023-07-04T15:43:48Z A study of neural network and multi-channel handwritten isolated digit recognition Zhao, Wei. Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Recognition of handwritten digits/characters is an important and necessary step in many documents processing application and this has been a popular topic of research for many years. Many approaches and significant research efforts have been proposed and made to solve this problem. Some use only the pixel-image as input to a powerful statistical or neural classifier. Others preprocess the data in order to extract some features that are fed into a classifier. The main difficulty lie in the handwritten recognition task is to tell which digit is represented by a pixel-image of a handwritten digits/character, this is due to the high variability of the scanned image caused by the particular writing style of different persons and also the scanning quality. Master of Engineering 2008-09-17T09:42:55Z 2008-09-17T09:42:55Z 2000 2000 Thesis http://hdl.handle.net/10356/4030 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Zhao, Wei.
A study of neural network and multi-channel handwritten isolated digit recognition
description Recognition of handwritten digits/characters is an important and necessary step in many documents processing application and this has been a popular topic of research for many years. Many approaches and significant research efforts have been proposed and made to solve this problem. Some use only the pixel-image as input to a powerful statistical or neural classifier. Others preprocess the data in order to extract some features that are fed into a classifier. The main difficulty lie in the handwritten recognition task is to tell which digit is represented by a pixel-image of a handwritten digits/character, this is due to the high variability of the scanned image caused by the particular writing style of different persons and also the scanning quality.
author2 Teoh, Eam Khwang
author_facet Teoh, Eam Khwang
Zhao, Wei.
format Theses and Dissertations
author Zhao, Wei.
author_sort Zhao, Wei.
title A study of neural network and multi-channel handwritten isolated digit recognition
title_short A study of neural network and multi-channel handwritten isolated digit recognition
title_full A study of neural network and multi-channel handwritten isolated digit recognition
title_fullStr A study of neural network and multi-channel handwritten isolated digit recognition
title_full_unstemmed A study of neural network and multi-channel handwritten isolated digit recognition
title_sort study of neural network and multi-channel handwritten isolated digit recognition
publishDate 2008
url http://hdl.handle.net/10356/4030
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