DocumentCode :
3625488
Title :
Image Feature Extraction Methods for Ear Biometrics--A Survey
Author :
Michal Choras
Author_Institution :
University of Technology & Life Sciences, Poland
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
261
Lastpage :
265
Abstract :
The human ear is a perfect source of data for passive person identification in many applications. In a growing need for security in various public places, ear biometrics seems to be a good solution, since ears are visible and their images can be easily taken, even without the examined person´s knowledge. Then the robust feature extraction method can be applied to determine personality of individuals, for instance users of access control system or terrorists at the airports and stations. The growing interest in ear biometrics is best evidenced by the growth of publications over the last few years. More importantly research groups developed different approaches to a problem of feature selection and extraction for ear biometrics. In the article we overview the proposed algorithms of feature extraction from 2D and 3D ear images.
Keywords :
"Feature extraction","Ear","Biometrics","Humans","Forensics","Access control","Cameras","Biosensors","Face","Hair"
Publisher :
ieee
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2007. CISIM ´07. 6th International Conference on
Print_ISBN :
0-7695-2894-5
Type :
conf
DOI :
10.1109/CISIM.2007.40
Filename :
4273531
Link To Document :
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