Teeth Image Recognition for Biometrics

  • Authors:

  • Tae-Woo Kim;Tae-Kyung Cho

  • Affiliations:

  • The author is with the Dept. of Information and Communication Engineering, Hanyang Cyber University, HIT 2F, 17 Haengdang-dong, Seongdong-gu, Seoul, 133--791, Korea. E-mail: twkim22@hanmail.net,;The author is with the Dept. of Information and Telecommunications, Sangmyung University, San 98--20, Anseo-dong, Cheonan-si, Chungnam-do, 330--702, Korea.

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.