Neural network system for classifying fingerprints
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United States of America Patent
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Oct 20, 1998
Issued Date -
N/A
app pub date -
Jul 11, 1997
filing date -
Dec 28, 1994
priority date (Note) -
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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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