DocumentCode :
3483361
Title :
HERO: Human Ear Recognition against Occlusions
Author :
De Marsico, Maria ; Michele, N. ; Riccio, Daniele
Author_Institution :
Sapienza Univ. di Roma, Rome, Italy
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
178
Lastpage :
183
Abstract :
Iannarelli´s studies demonstrated that ear shape represents a biometric identifier able to authenticate people in the same way as more established biometrics, like face or voice for instance. However, not many researches can be found in literature about ear recognition. In most cases existing algorithms are borrowed from other biometric contexts. An example is PCA (Principal Component Analysis). Eigen-ears only provide high recognition rate in closely controlled conditions, while performances decay even for small changes in environmental conditions. We propose a fractal based technique, namely HERO (Human Ear Recognition against Occlusions) to classify human ears. The feature extraction process has been made local, so that the system gets robust with respect to small changes in pose/illumination and partial occlusions. Experimental results confirm the superiority of this approach over several linear and non linear techniques.
Keywords :
biometrics (access control); computer graphics; ear; feature extraction; fractals; shape recognition; HERO; Iannarelli study; biometric context; ear shape; eigen ears; feature extraction process; fractal based technique; human ear recognition; partial occlusion; principal component analysis; Biometrics; Ear; Face recognition; Feature extraction; Fractals; Humans; Image recognition; Principal component analysis; Robustness; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
ISSN :
2160-7508
Print_ISBN :
978-1-4244-7029-7
Type :
conf
DOI :
10.1109/CVPRW.2010.5544623
Filename :
5544623
Link To Document :
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