Fingerprint classification using a hexagonal fast fourier transform

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摘要

In this paper a new method for the analysis of fingerprint images is presented. A Hexagonal Fourier Transform is applied that will classify fingerprints into whorls, loops and arches. The Hexagonal Fourier Transform allows the utilization of hexagonally sampled data and the extention of output data in a rectangular scheme, which is more convenient for treatment and interpretation. Results for fingerprint classification are given.

论文关键词:Filtering,Segmentation,Thinning,Fingerprint classification,Hexagonal sampling,Hexagonal Fast Fourier Transform

论文评审过程:Received 15 April 1995, Revised 14 November 1995, Accepted 20 February 1996, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(96)00018-0