A New Wavelet Domain Feature for Fingerprint Recognition
نویسنده
چکیده
A new fingerprint recognition approach based on features extracted from the wavelet domain is presented. The 64-subband structure proposed by the FBI WSQ standard is used to decompose the frequency of the image. The efficiency of the method is achieved by using the k-nearest neighbor (k-NN) classifier. The result is compared with other image-based methods. For compressed fingerprint images, this proposed method can achieve much lower computational efforts.
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تاریخ انتشار 2009