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JRM Vol.15 No.4 pp. 451-457
doi: 10.20965/jrm.2003.p0451
(2003)

Paper:

Study of Individual Feature Extraction from Range Data of Human Nose

Akio Nozawa, and Hideto Ide

Department of Electronics and Electrical Engineering, College of Science and Engineering, Aoyama Gakuin University, 10-1 Fuchinobe 5-chome, Sagamihara, Kanagawa, 229-8558 Japan

Received:
April 2, 2003
Accepted:
July 7, 2003
Published:
August 20, 2003
Keywords:
individual authentication, biometrics, feature extraction, nose, range data
Abstract

We extracted individual and gender features from range data on the human nose measured by a three-dimensional digitizer. We propose extracting individual and gender features from range data measured for the nose based on a solid model, which gives feature vectors for volume, length between vertexes, and angles around vertex. We determined elements of feature vectors by statistical analysis and authentication tests. We achieved an 83.67% individual identification rate and a 98.01% gender identification rate, verifying the effectiveness of our proposed method.

Cite this article as:
Akio Nozawa and Hideto Ide, “Study of Individual Feature Extraction from Range Data of Human Nose,” J. Robot. Mechatron., Vol.15, No.4, pp. 451-457, 2003.
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