Correlation Filter based Fingerprint Verification System
نویسندگان
چکیده
Biometrics is an important security tool which can be used for human identification and authentication to offer a higher level of security than conventional identification methods. Among all available biometrics, Fingerprints are a good choice as they are unique to a person. Fingerprint recognition is a complex pattern recognition problem. This paper proposes fingerprint verification based on correlation filters because of their properties like shift invariance, ability to accommodate in-class image variability and closed form expressions. The performance of a specific type of correlation filter called the minimum average correlation energy (MACE) filter [1] has been evaluated using a FVC database. General Terms Pattern Recognition, Image processing, Biometrics
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