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Fusion of Statistical and Structural Fingerprint Classifiers

  • Gian Luca Marcialis
  • Fabio Roli
  • Alessandra Serrau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

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.

Keywords

Statistical Classifier Combination Rule Fingerprint Image Remote Sensing Image Combine Classifier 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Gian Luca Marcialis
    • 1
  • Fabio Roli
    • 1
  • Alessandra Serrau
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly

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