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Minutiae extraction is one of the most important steps for an Automatic Identification and Authentication Systems. Minutiae are the local fingerprint patterns mostly in the form of terminations and bifurcations. True minutiae are needed for further process. Those true minutiae are extracted only from a good quality and better enhanced image. To achieve this, the authors propose a frequency domain enhancement algorithm based on the Log-Gabor Filtering Technique on the Fast Fourier's Frequency domain. The performance of the algorithm is measured in terms of Peak Signal to Noise Ratio and Mean Square Error and Standard Deviations.
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