Abstract：The average ridge distance of a fingerprint image is an important characteristic of fingerprint texture attribute. As an important parameter, the precision of estimation seriously affects the results of segmentation, enhancement and classification of fingerprint recognition. An algorithm is proposed to compute the average ridge distance of fingerprint accurately by using discrete Fourier transform, discrete information entropy theory, and weighted Euclidean distance. To evaluate the performance of the proposed algorithm, an experimental scheme is put forward based on man-made experimental datasets and typical fingerprint images. The experimental results show that the proposed algorithm estimates the average ridge distance accurately.
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2009, Vol. 22 
