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Research Article Open Access
With the increasing fraud in society, now it is time to replace the traditional methods of personal identification with automatic and accurate biometric based identification. Among all available biometrics (face, voice, iris, retina, etc.) fingerprint identification is receiving a lot of attention, since it is one of the most ancient and proven popular fingerprint matching techniques can be broadly classified as 1)Minutiae based, 2)Correlation based, 3)Texture based. The proposed image based method is correlation type in which two –dimensional Fast Fourier Transform(FFT) on both the input and the template fingerprints is computed then the sum of the pixel to pixel multiplication of the two frequency domain representations of the fingerprint images is then compared to a threshold to make a decision. One of the advantages of performing correlation in the frequency domain is that the frequency representations of the fingerprint are translations invariant. The image based approach do not use minutiae features for fingerprint matching. This correlation coefficient approach is capable of finding the correspondence between the input fingerprint image and the stored enrolled template at higher computational efficiency than minutiae based method. The high matching rate achieved in this paper suggests that an efficient small scale fingerprint verification system is feasible.