A method using long digital straight segments for fingerprint recognition

Xiubao Jiang, Xinge You, Yuan Yuan*, Mingming Gong

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

In this paper, we proposed a new method using long digital straight segments (LDSSs) for fingerprint recognition based on such a discovery that LDSSs in fingerprints can accurately characterize the global structure of fingerprints. Different from the estimation of orientation using the slope of the straight segments, the length of LDSSs provides a measure for stability of the estimated orientation. In addition, each digital straight segment can be represented by four parameters: x-coordinate, y-coordinate, slope and length. As a result, only about 600 bytes are needed to store all the parameters of LDSSs of a fingerprint, as is much less than the storage orientation field needs. Finally, the LDSSs can well capture the structural information of local regions. Consequently, LDSSs are more feasible to apply to the matching process than orientation fields. The experiments conducted on fingerprint databases FVC2002 DB3a and DB4a show that our method is effective.

Original languageEnglish
Pages (from-to)28-35
Number of pages8
JournalNeurocomputing
Volume77
Issue number1
Early online date19 Sep 2011
DOIs
Publication statusPublished - 1 Feb 2012

Keywords

  • digital straight segment
  • fingerprint recognition
  • minutiae
  • orientation field

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