• DocumentCode
    2875733
  • Title

    A Comprehensive Approach for Fingerprint Alignment

  • Author

    Zheng, Xiaolong ; Wang, Yangsheng ; Zheng, Liang

  • Author_Institution
    Coll. of Electron. Inf., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    382
  • Lastpage
    385
  • Abstract
    Fingerprint alignment is a challenge task due to the pose of fingerprint image acquirement and the deformation and noise of fingerprint image. A comprehensive method to align fingerprints is proposed in this paper. As an intrinsic characteristic, orientation field of fingerprint is robust to the deformation and noise, a novel method calculating orientation difference is used to measure the similarity of fingerprint roughly, by combining orientation difference with ridge and minutiae information, the optimal alignment be obtained through measuring the global comprehensive similarity. The results of experiment conducted on FVC2002 DB3 testify the effectiveness of the proposed approach.
  • Keywords
    fingerprint identification; fingerprint alignment; fingerprint image acquirement; global comprehensive similarity; image deformation; optimal alignment; Automation; Educational institutions; Feature extraction; Fingerprint recognition; Image matching; Intelligent networks; Intelligent systems; Noise measurement; Noise robustness; Testing; Alignment; Fingerprint; Orientation field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.104
  • Filename
    5366937