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Multibiometric systems
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Communications of the ACM archive
Volume 47 ,  Issue 1  (January 2004) table of contents
Multimodal interfaces that flex, adapt, and persist
SPECIAL ISSUE: Multimodal interfaces that flex, adapt, and persist table of contents
Pages: 34 - 40  
Year of Publication: 2004
ISSN:0001-0782
Authors
Anil K. Jain  Michigan State University, East Lansing, MI
Arun Ross  West Virginia University, Morgantown, WV
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 30,   Downloads (12 Months): 338,   Citation Count: 21
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ABSTRACT

The latest research indicates using a combination of biometric avenues for human identification is more effective, and far more challenging.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Jain, A.K., and Ross, A. Learning user-specific parameters in a multibiometric system. In Proceedings of the IEEE International Conference on Image Processing (Rochester, NY, Sept. 22--25, 2002), 57--60.
 
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Verlinde, P., and Cholet, G. Comparing decision fusion paradigms using k-NN based classifiers, decision trees and logistic regression in a multi-modal identity verification application. In Proceedings of the International Conference on Audio and Video-Based Biometric Person Authentication. (Washington, D.C., Mar. 1999), 188--193.

CITED BY  21


REVIEW

"James Edward Tomayko : Reviewer"

One of the authors of this paper is at West Virginia's Center of Identification Technology Research. The location of the Center is probably a direct result of that state hosting the US Federal Bureau of Investigation's (FBI's) fingerprint archive.  more...