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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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 |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Zhao, Wei. A study of neural network and multi-channel handwritten isolated digit recognition |
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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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1772827718935642112 |