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A Missing Singular Point Resistant Fingerprint Classification Technique, Based on Directional Patterns

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 10425)

Abstract

Biometric fingerprint scanners that are integrated into numerous electronic devices, are compact. Commonly, individuals place their fingers on these compact scanners incorrectly causing loss of Singular Points (\( SP \)s). This has a severe impact on Exclusive Fingerprint Classification due to small inter-class variability amongst fingerprint classes. Directional Patterns (\( DP \)s) have recently shown potential in classifying fingerprints with missing \( SP \)s. However, the recent technique is designed to classify frequently occurring cases of missing SPs. In this paper the rules for complex cases where most of the key information has not been captured and tends to be extremely difficult to classify, are proposed to develop a complete classification algorithm using DPs. The proposed algorithm is tested on the \( FVC \) 2002 \( DB \)1 and 2004 \( DB \)1 and achieves an overall accuracy of 92.48%.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CSIR, Modelling and Digital SciencePretoriaSouth Africa
  2. 2.School of EngineeringUKZNDurbanSouth Africa

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