Neural network system for classifying fingerprints

Image analysis – Applications – Personnel identification

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382125, 382224, 382170, 382156, 395 21, 395 24, G06K 900

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058259074

ABSTRACT:
A system for automatically classification of human fingerprints. An unidentified fingerprint is processed to produce a direction map. The direction map is processed to generate a course direction map. The coarse direction map is input to a locally connected, highly constrained feed-forward neural network. The neural network has a highly structured architecture well-suited to exploit the rotational symmetries and asymmetries of human fingerprints. The neural network classifies the unidentified fingerprint into one of five classifications: Whorl, Double Loop, Left Loop, Right Arch and Arch.

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Crawford et al., Automated Fingerprint Identification: An Independent Study, Yale University, Oct. 1991.

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