A Fusion Scheme of Region of Interest Extraction in Incomplete Fingerprint[J]. Chinese Journal of Electronics, 2012, 21(4): 663-666.
Citation: A Fusion Scheme of Region of Interest Extraction in Incomplete Fingerprint[J]. Chinese Journal of Electronics, 2012, 21(4): 663-666.

A Fusion Scheme of Region of Interest Extraction in Incomplete Fingerprint

  • Received Date: 2011-07-01
  • Rev Recd Date: 2011-11-01
  • Publish Date: 2012-10-25
  • A fusion scheme is proposed for incomplete fingerprint to extract the Region of interest (ROI) centered at the reference point. Firstly, the orientation entropy is computed. Secondly, it is necessary for ROI extraction to segment foreground and background efficiently. So, the feature vector, based on orientation and gray, is defined for segmentation with SVM. Then, the fingerprint segmentation of the incomplete area is re-computed and measured with correlation and competition of texture, which is based on Local binary pattern (LBP). Finally, the proposed method is based on mutual information of fingerprint orientation and Poincare Index to detect the reference point of fingerprints, and then extract ROI. The performance of the new method is evaluated on FVC2004 database. And the performance is shown in the experiments and proves that it could locate the position of reference point of all type fingerprints more effectively and precisely.
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  • A.K. Jain, Jianjiang Feng, K. Nandakumar, “Fingerprintmatching”, Computer, IEEE Computer Society, Vol.43, No.2,pp.36-44, 2010.
    D. Maio, D. Maltoni, A.K. Jain, S. Prabhakar, Handbook ofFingerprint Recognition, Springer Verlag, 2009.
    F. Benhammadi, M.N. Amirouche, H. Hentous, K.B. Beghdad,M. Aissani, “Fingerprint matching from minutiae texturemaps”, Pattern Recognition, Vol.40, pp.189-197, 2007.
    A.K. Jain, S. Prabhakar, L. Hong, S. Pankanti, “Filterbankbasedfingerprint matching”, IEEE Transactions on Image Process,Vol.9, No.5, pp.846-859, 2000.
    A. Ross, A. Jain, J. Reisman, “A hybrid fingerprint matcher”,Pattern Recognition, Vol.36, pp.1661-1673, 2003.
    M. Kawagoe, A. Tojo, “Fingerprint pattern classification”, PatternRecognition, Vol.17, pp.295-303, 1984.
    A.M. Usman, A. Tariq, S. Nasir, A. Khanam, “Core point detectionusing improved segmentation and orientation”, Proceedingof IEEE/ACS Interna-tional Conference on Computer Systemsand Applications (AICCSA), Doha, Qatar, pp.637-644, 2008.
    S. Mohammadi, A. Farajzadeh, “Reference point and orientationdetection of fingerprints”, Proceeding of The Second InternationalConference on Computer and Electrical Engineering(ICCEE), Dubai, United arab emirates, pp.469-473, 2009.
    K. Nilsson, “Symmetry Filters applied to fingerprints”, Ph.D.Thesis, Chalmers University of Technology, Sweden, 2005.
    Zhao Yanyun, Cai Anni, “Fingerprint image segmentation basedon support vector machines”, Journal of Beijing University ofPosts and Telecommunications, Vol.29, No,2, pp.38-41, 2006.(in Chinese)
    C.P. John, Probabilities for SV Machines, MIT Press, Boston,2000.
    Ding Ying, Li Wen hui, Fan Jingtao, Yang Huamin, “A movingobject detection algorithm base on choquet integrate”, ActaElectronica Sinica, Vol.38, No.2, pp.263-268, 2010. (in Chinese)
    L. Nanni, A. Lumini, “Local binary patterns for a hybrid fingerprintmatcher”, Pattern Recognition, Vol.41, pp.3461-3466,2008.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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