Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/506
Title: Improved PCA &LDA-Based PersonalIdentification Method
Authors: Kiattisin, Supaporn 
Nadee, Chokemongkon 
Issue Date: 2008
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: Supaporn Kiattisin, Chokemongkon Nadee (2008) Improved PCA &LDA-Based PersonalIdentification Method. UTCC Engineering Research Papers.
Journal: UTCC Engineering Research Papers
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.
URI: https://scholar.utcc.ac.th/handle/6626976254/506
ISSN: 1906-1625
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.
Appears in Collections:EN: Journal Articles

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