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Plain Fingerprint Classification Based on a Core Stochastic Algorithm

  • Baek, Young-Hyun ;
  • Kim, Byunggeun
  • Received : 2016.02.18
  • Accepted : 2016.02.24
  • Published : 2016.02.29

Abstract

We propose plain fingerprint classification based on a core stochastic algorithm that effectively uses a core stochastic model, acquiring more fingerprint minutiae and direction, in order to increase matching performance. The proposed core stochastic algorithm uses core presence/absence and contains a ridge direction and distribution map. Simulations show that the fingerprint classification accuracy is improved by more than 14%, on average, compared to other algorithms.

Keywords

Fingerprint core;Classification;Ridge direction;Stochastic model;Distribution map

References

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Acknowledgement

Supported by : Advanced Technology Center (ATC)