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Proceedings Paper

Using composite correlation filters for biometric verification
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Paper Abstract

Biometric verification refers to the process of matching an input biometric to stored biometric information. In particular, biometric verification refers to matching the live biometric input from an individual to the stored biometric template of that individual. Examples of biometrics include face images, fingerprint images, iris images, retinal scans, etc. Thus, image processing techniques prove useful in biometric recognition. In particular, composite correlation filters have proven to be effective. In this paper, we will discuss the application of composite correlation filters to biometric verification.

Paper Details

Date Published: 6 August 2003
PDF: 9 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.485918
Show Author Affiliations
Bhagavatula V. K. Vijaya Kumar, Carnegie Mellon Univ. (United States)
Marios Savvides, Carnegie Mellon Univ. (United States)
Chunyan Xie, Carnegie Mellon Univ. (United States)
Krithika Venkataramani, Carnegie Mellon Univ. (United States)
Jason Thornton, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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