DocumentCode :
3481172
Title :
An overview of multi-modal biometrics based on face and ear
Author :
Zhang, Haijun ; Huang, Zengxi ; Li, Yibo
Author_Institution :
Colledge of Autom., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
1705
Lastpage :
1709
Abstract :
Unimodal biometric systems contend with a variety of problems such as noisy data, restricted degrees of freedom, non-universality and spoof attacks. Some of these limitations can be overcome by employing multi-modal biometric identification technologies. The paper discusses a new multi-modal biometrics based on face and ear. The research significance of multi-modal biometrics based on face and ear will be represented first, then we introduce some researchers´ achievements and inadequacies. We also propose further exploration and research in this area.
Keywords :
biometrics (access control); face recognition; security of data; ear recognition technologies; face recognition technologies; multimodal biometric identification technologies; personal identification methods; unimodal biometric system; Automation; Biometrics; Ear; Face recognition; Fingerprint recognition; Humans; Image recognition; Iris; Robustness; Security; Multi-modal biometrics; face and ear; non-intrusive; unimodal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
Type :
conf
DOI :
10.1109/ICAL.2009.5262697
Filename :
5262697
Link To Document :
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