Character recognition and inspection

In this project, a software application is developed with image processing techniques and neural network to check the text on the IC chip. By using optical character recognition (OCR) in this software, we increased the flexibility of IC chip inspection because allowances can be made to cater to diff...

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Main Author: Pang, Yuen Lai.
Other Authors: Ling, Keck Voon
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3109
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3109
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spelling sg-ntu-dr.10356-31092023-07-04T15:53:59Z Character recognition and inspection Pang, Yuen Lai. Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this project, a software application is developed with image processing techniques and neural network to check the text on the IC chip. By using optical character recognition (OCR) in this software, we increased the flexibility of IC chip inspection because allowances can be made to cater to different characters on the chip. As compared to the traditional approach of template matching, the suggested solution eliminates the storing of numerous sets of markings associated to different sets of characters that can appear on the same IC chip. Master of Science (Computer Control and Automation) 2008-09-17T09:22:27Z 2008-09-17T09:22:27Z 2000 2000 Thesis http://hdl.handle.net/10356/3109 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
Pang, Yuen Lai.
Character recognition and inspection
description In this project, a software application is developed with image processing techniques and neural network to check the text on the IC chip. By using optical character recognition (OCR) in this software, we increased the flexibility of IC chip inspection because allowances can be made to cater to different characters on the chip. As compared to the traditional approach of template matching, the suggested solution eliminates the storing of numerous sets of markings associated to different sets of characters that can appear on the same IC chip.
author2 Ling, Keck Voon
author_facet Ling, Keck Voon
Pang, Yuen Lai.
format Theses and Dissertations
author Pang, Yuen Lai.
author_sort Pang, Yuen Lai.
title Character recognition and inspection
title_short Character recognition and inspection
title_full Character recognition and inspection
title_fullStr Character recognition and inspection
title_full_unstemmed Character recognition and inspection
title_sort character recognition and inspection
publishDate 2008
url http://hdl.handle.net/10356/3109
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