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