Paper
6 August 2003 Using composite correlation filters for biometric verification
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhagavatula V. K. Vijaya Kumar, Marios Savvides, Chunyan Xie, Krithika Venkataramani, and Jason Thornton "Using composite correlation filters for biometric verification", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); https://doi.org/10.1117/12.485918
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Cited by 7 scholarly publications.
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KEYWORDS
Image filtering

Biometrics

Detection and tracking algorithms

Iris recognition

Iris

Light sources and illumination

Optimal filtering

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