Abstract
A novel approach for fingerprint feature extraction is proposed by using modified Fast Fourier Transform (FFT) coefficients. The proposed method extracts the significant features from small portion of cropped fingerprint image using frequency-shifting property of discrete Fourier transform. The performance of the proposed method is evaluated on standard fingerprint database available at website of Bologna University. Results of the proposed method are compared with Discrete Wavelet Transform (DWT) and FFT-based method. The proposed method improves Genuine Acceptance Rate (GAR) from 77.14% to 96.73% over DWT and 88.26% to 96.73% over traditional FFT with very low computational complexity.
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