Study of Individual Feature Extraction from Range Data of Human Nose | Zendy

Akio Nozawa | Zendy; Hideto Ide | Zendy

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Study of Individual Feature Extraction from Range Data of Human Nose

Author(s) -

Akio Nozawa,

Hideto Ide

Publication year - 2003

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2003.p0451

Subject(s) - pattern recognition (psychology) , feature extraction , range (aeronautics) , artificial intelligence , identification (biology) , computer science , feature (linguistics) , vertex (graph theory) , feature vector , volume (thermodynamics) , authentication (law) , computer vision , engineering , physics , biology , graph , linguistics , philosophy , botany , computer security , theoretical computer science , quantum mechanics , aerospace engineering

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.

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