Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network

Presently, many Integrated Circuit (IC) manufacturers are applying machine vision solution to ensure the legibility of characters printed on the top surface of IC Package. In template matching technique there are about 10% of ICs rejected due to very little defects in quality of marking even though...

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Main Author:	Mariappan, Vasan
Format:	Thesis
Language:	English English
Published:	2008
Subjects:	Neural computers Optical pattern recognition
Online Access:	http://psasir.upm.edu.my/id/eprint/5396/1/FK_2008_16.pdf
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id	my-upm-ir.5396
record_format	uketd_dc
spelling	my-upm-ir.53962013-05-27T07:22:32Z Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network 2008 Mariappan, Vasan Presently, many Integrated Circuit (IC) manufacturers are applying machine vision solution to ensure the legibility of characters printed on the top surface of IC Package. In template matching technique there are about 10% of ICs rejected due to very little defects in quality of marking even though the characters are correct. The objective of this project is to develop an IC inspection system that has optical character recognition function system by using neural network. Feed forward back propagation neural network method is used in this task. The system developed is able to read 36 characters ( A to Z and 0 to 9) printed on ICs. The recognition time in template matching is 650μs. In neural network technique, by feeding-in Raw Data, Feature, and Hybrid (combination of Raw Data and Feature), they clock 18.22μs, 15.64μs and 19.32μs respectively. The recognition accuracy is 96.26% for the former and 98.25%, 98.83% and 99.61% for the latter. This is a solution to minimise rejects of ICs in manufacturing process. The reduction of processing time in manufacturing process contributes to the increase of productivity. Moreover, application of this technique gives a solution to avoid mismatch of parts (ICs) in manufacturing lots. Neural computers Optical pattern recognition 2008 Thesis http://psasir.upm.edu.my/id/eprint/5396/ http://psasir.upm.edu.my/id/eprint/5396/1/FK_2008_16.pdf application/pdf en public masters Universiti Putra Malaysia Neural computers Optical pattern recognition Faculty of Engineering English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Neural computers Optical pattern recognition
spellingShingle	Neural computers Optical pattern recognition Mariappan, Vasan Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
description	Presently, many Integrated Circuit (IC) manufacturers are applying machine vision solution to ensure the legibility of characters printed on the top surface of IC Package. In template matching technique there are about 10% of ICs rejected due to very little defects in quality of marking even though the characters are correct. The objective of this project is to develop an IC inspection system that has optical character recognition function system by using neural network. Feed forward back propagation neural network method is used in this task. The system developed is able to read 36 characters ( A to Z and 0 to 9) printed on ICs. The recognition time in template matching is 650μs. In neural network technique, by feeding-in Raw Data, Feature, and Hybrid (combination of Raw Data and Feature), they clock 18.22μs, 15.64μs and 19.32μs respectively. The recognition accuracy is 96.26% for the former and 98.25%, 98.83% and 99.61% for the latter. This is a solution to minimise rejects of ICs in manufacturing process. The reduction of processing time in manufacturing process contributes to the increase of productivity. Moreover, application of this technique gives a solution to avoid mismatch of parts (ICs) in manufacturing lots.
format	Thesis
qualification_level	Master's degree
author	Mariappan, Vasan
author_facet	Mariappan, Vasan
author_sort	Mariappan, Vasan
title	Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
title_short	Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
title_full	Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
title_fullStr	Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
title_full_unstemmed	Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
title_sort	development of an optical character recognition function system for integrated circuit label classification using neural network
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2008
url	http://psasir.upm.edu.my/id/eprint/5396/1/FK_2008_16.pdf
_version_	1747810415532834816

Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network

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