Convolution Transforms based Finger Print Recognition Techniques
Pages : 2526-2530
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Abstract
Fingerprints have long been utilized as a reliable biometric feature for confidential identification. Fingerprint association mentions to the setback of allocating fingerprints to one of countless pre-specified categories. Automatic association can be utilized as a pre-processing lick for fingerprint matching, cutting matching period and intricacy by restricting the find space to a subset of a normally huge database. Fingerprint matching methods can be mainly categorized as minutiae established and correlation based. Minutiae based technique early locates the minutiae points in a given fingerprint picture and matches their comparative placements in a stored template fingerprint. This Paper looks into Feature based and wavelet based fingerprint matching of the methods being worked upon in the research community.
Keywords: Finger Print Recognition, Automated fingerprint recognition systems (AFRSs), Pattern recognition
Article published in International Journal of Current Engineering and Technology, Vol.5, No.4 (Aug-2015)