Segmentation of fingerprint image by using polarimetric feature

Chao Chen, Dapeng Zhang, Lei Zhang, Yongqiang Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Segmentation of fingerprint image is the first step of fingerprint recognition, and it plays an essential role which helps to preserve genuine and reduce false minutiae and further aids the performance of Automatic Fingerprint Identification System (AFIS). The problem of segmentation has been thoroughly studied but never been completely solved. During this paper, we propose a novel representation of fingerprint image with the added polari-metric information which is captured by Stokes Imaging System, and followed by a simple yet efficient segmentation of fingerprint image based on the polarimetric variance (Polvar). Polarimetric characteristic is another distinguishable feature beside intense that reflecting light carries, and it provides potential way to enhance the contrast between background and foreground, and between ridges and valleys as well. And therefore, there is a possibility to achieve a satisfactory segmentation results. Nonoverlapping block Polvar feature is utilized to accelerate computation, and moreover the segmentation results that are based on other common used features are compared, that is block energy, block coherence, block cluster degree. Experimental results show that our proposed novel method is much efficient than the other features and simultaneously achieve higher accuracy especially it well segments the case of remaining ridges from previously scanned finger. Segmentation results are evaluated both visually by human inspire and quantitatively.
Original languageEnglish
Title of host publicationIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010
DOIs
Publication statusPublished - 28 Sep 2010
EventIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010 - Povoa de Varzim, Portugal
Duration: 21 Jun 201023 Jun 2010

Conference

ConferenceIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010
Country/TerritoryPortugal
CityPovoa de Varzim
Period21/06/1023/06/10

Keywords

  • Fingerprint segmentation
  • Polarimetric variance
  • Results evaluation
  • Stokes fingerprint imaging system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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