Teeth Image Recognition for Biometrics

Tae-Woo KIM
Tae-Kyung CHO

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D    No.3    pp.1309-1313
Publication Date: 2006/03/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.3.1309
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
biometrics,  block matching motion estimation (BMME),  linear discriminant analysis (LDA),  nearest neighbor (NN) algorithm,  pattern recognition,  personal identification,  teeth recognition,  

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Summary: 
This paper presents a personal identification method based on BMME and LDA for images acquired at anterior and posterior occlusion expression of teeth. The method consists of teeth region extraction, BMME, and pattern recognition for the images acquired at the anterior and posterior occlusion state of teeth. Two occlusions can provide consistent teeth appearance in images and BMME can reduce matching error in pattern recognition. Using teeth images can be beneficial in recognition because teeth, rigid objects, cannot be deformed at the moment of image acquisition. In the experiments, the algorithm was successful in teeth recognition for personal identification for 20 people, which encouraged our method to be able to contribute to multi-modal authentication systems.


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