DocumentCode :
2490378
Title :
Ear recognition using LLE and IDLLE algorithm
Author :
Xie, Zhaoxia ; Mu, Zhichun
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Although ear recognition has been researched widely, there still exist some problems to be resolved in depth such as multi-pose ear recognition which is rarely focused on. In this paper, different from previous methods used for ear recognition, one nonlinear algorithm, called locally linear embedding (LLE) belonging to manifold learning technique is introduced, and an improved locally linear embedding algorithm (IDLLE) is proposed considering the disadvantage of the standard LLE algorithm. Comparison to PCA and KPCA, experimental results demonstrate that applying LLE for multi-pose ear recognition can obtain better recognition results; and using the IDLLE can further improve the recognition performance as for multi-pose ear recognition, which greatly shows the validity of this improved algorithm.
Keywords :
ear; face recognition; learning (artificial intelligence); improved locally linear embedding algorithm; manifold learning technique; multipose ear recognition; nonlinear algorithm; Biometrics; Data mining; Ear; Feature extraction; Humans; Image recognition; Kernel; Lighting; Principal component analysis; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761861
Filename :
4761861
Link To Document :
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