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AVBPA
2003
Springer

Fusion of Statistical and Structural Fingerprint Classifiers

14 years 4 months ago
Fusion of Statistical and Structural Fingerprint Classifiers
Classification is an important step towards fingerprint recognition. In the classification stage, fingerprints are usually associated to one of the five classes “A”, “L”, “R”, “T”, “W”. The aim is to reduce the number of comparisons that are necessary for recognition. Many approaches to fingerprint classification have been proposed so far, but very few works investigated the potentialities of combining statistical and structural algorithms. In this paper, an approach to fusion of statistical and structural fingerprint classifiers is presented and experiments that show the potentialities of such fusion are reported.
Gian Luca Marcialis, Fabio Roli, Alessandra Serrau
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where AVBPA
Authors Gian Luca Marcialis, Fabio Roli, Alessandra Serrau
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