Teeth Image Recognition for Biometrics(Image Recognition, Computer Vision)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-03-01

著者

• Cho Tae-kyung

  The Dept. Of Information And Telecommunications Sangmyung University

• Kim Tae-woo

  The Dept. Of Information And Communication Engineering Hanyang Cyber University

関連論文

• Teeth Image Recognition for Biometrics(Image Recognition, Computer Vision)

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