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Digitale Medien

Noisy fingerprints classification with directional FFT based features using MLP (1998)

Sarbadhikari, S. N. ; Basak, J. ; Pal, S. K. ; [weitere]

Springer

Neural computing & applications 7 (1998), S. 180-191

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Details

ISSN: 1433-3058

Schlagwort(e): Fast Fourier Transform (FFT) ; Multilayer Perceptron (MLP) ; (Noisy) fingerprint classification

Quelle: Springer Online Journal Archives 1860-2000

Thema: Informatik , Mathematik

Notizen: 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.

Materialart: Digitale Medien

URL: http://dx.doi.org/10.1007/BF01414169

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