|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
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,
Full Text: PDF(853.2KB)>>
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.
|
open access publishing via
|
|
|
|
|
|
|
|