Improved PCA &LDA-Based PersonalIdentification Method

Journal
UTCC Engineering Research Papers
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2008
Author(s)
Nadee, Chokemongkon
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
Abstract
Since PCA-Based Teeth-Image PersonalIdentification Method [3] and LDA-Based Teeth-ImagePersona Identification Method [2] are not robustagainst reflection and orientation, registered persons inthe database is rejected around 10%. This paperproposes a method to improve the PCA &LDA basedteeth-image personal identification method. In thismethod, the teeth image failed from the matching in thePCA &LDA based system is reconsidered by feedingback the image to eliminate the reflection and therotation problems. The enhanced teeth image is fed backto PCA &LDA process in order to rescue misclassifiedteeth-image. In the experiments, 500 teeth images aretested with 200-teeth database. The results revealed thatof the 10% errors caused by the two problems, 5% arecorrectly identified because of the proposed method.
Subject(s)
Computer and Multimedia Engineering
ISSN
1906-1625
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
Supaporn Kiattisin, Chokemongkon Nadee (2008) Improved PCA &LDA-Based PersonalIdentification Method. UTCC Engineering Research Papers.
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