ISSN:
1433-3058
Keywords:
Fast Fourier Transform (FFT)
;
Multilayer Perceptron (MLP)
;
(Noisy) fingerprint classification
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract A methodology is described for classifying noisy fingerprints directly from raw unprocessed images. The directional properties of fingerprints are exploited as input features by computing one-dimensional fast Fourier transform (FFT) of the images over some selected bands in four and eight directions. The ability of the multilayer perceptron (MLP) for generating complex boundaries is utilised for the purpose of classification. The superiority of the method over some existing ones is established for fingerprints corrupted with various types of distortions, especially random noise.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01414169
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