A New Wavelet Domain Feature for Fingerprint Recognition(<Special Issue>BIOMETRICS AND ITS APPLICATIONS)

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概要

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• 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.

著者

• Kot Alex

  School Of Ieee Nanyang Technological University

• SHEN Linlin

  School of Computer & Software Engineering,, Shenzhen University

• Shen Linlin

  School Of Computer & Software Engineering Shenzhen University

関連論文

• A New Wavelet Domain Feature for Fingerprint Recognition(BIOMETRICS AND ITS APPLICATIONS)
• Gabor Features and Support Vector Machine for Face Identification(BIOMETRICS AND ITS APPLICATIONS)

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