Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics

被引:265
作者
Asaari, Mohd Shahrinie Mohd [1 ]
Suandi, Shahrel A. [1 ]
Rosdi, Bakhtiar Affendi [1 ]
机构
[1] Univ Sains Malaysia, Sch Elect & Elect Engn, Intelligent Biometr Grp, Pulau, Pinang, Malaysia
关键词
Finger vein recognition; Finger geometry recognition; Band Limited Phase Only Correlation; Centroid Contour Distance; Finger width; Multimodal biometrics; Score-level fusion; SCORE LEVEL FUSION; VEIN RECOGNITION; VERIFICATION; ALIGNMENT;
D O I
10.1016/j.eswa.2013.11.033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a new approach of multimodal finger biometrics based on the fusion of finger vein and finger geometry recognition is presented. In the proposed method, Band Limited Phase Only Correlation (BLPOC) is utilized to measure the similarity of finger vein images. Unlike previous methods, BLPOC is resilient to noise, occlusions and rescaling factors; thus can enhance the performance of finger vein recognition. As for finger geometry recognition, a new type of geometrical features called Width-Centroid Contour Distance (WCCD) is proposed. This WCCD combines the finger width with Centroid Contour Distance (CCD). As compared with the single type of feature, the fusion of W and CCD can improve the accuracy of finger geometry recognition. Finally, we integrate the finger vein and finger geometry recognitions by a score-level fusion method based on the weighted SUM rule. Experimental evaluation using our own database which was collected from 123 volunteers resulted in an efficient recognition performance where the equal error rate (EER) was 1.78% with a total processing time of 24.22 ms. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3367 / 3382
页数:16
相关论文
共 41 条
  • [1] A low overhead scaled equalized harmonic-based voice authentication system
    Adibi, Sasan
    [J]. TELEMATICS AND INFORMATICS, 2014, 31 (01) : 137 - 152
  • [2] Beining Huang, 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR 2010), P1269, DOI 10.1109/ICPR.2010.316
  • [4] Fingerprint classification by a hierarchical classifier
    Cao, Kai
    Pang, Liaojun
    Liang, Jimin
    Tian, Jie
    [J]. PATTERN RECOGNITION, 2013, 46 (12) : 3186 - 3197
  • [5] Gait recognition based on shape and motion analysis of silhouette contours
    Das Choudhury, Sruti
    Tjahjadi, Tardi
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 117 (12) : 1770 - 1785
  • [6] Fake finger-vein image detection based on Fourier and wavelet transforms
    Dat Tien Nguyen
    Park, Young Ho
    Shin, Kwang Yong
    Kwon, Seung Yong
    Lee, Hyeon Chang
    Park, Kang Ryoung
    [J]. DIGITAL SIGNAL PROCESSING, 2013, 23 (05) : 1401 - 1413
  • [7] REGISTRATION OF TRANSLATED AND ROTATED IMAGES USING FINITE FOURIER-TRANSFORMS
    DECASTRO, E
    MORANDI, C
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (05) : 700 - 703
  • [8] A GENERAL-APPROACH TO CONNECTED-COMPONENT LABELING FOR ARBITRARY IMAGE REPRESENTATIONS
    DILLENCOURT, MB
    SAMET, H
    TAMMINEN, M
    [J]. JOURNAL OF THE ACM, 1992, 39 (02) : 253 - 280
  • [9] Advanced leaf image retrieval via Multidimensional Embedding Sequence Similarity (MESS) method
    Fotopoulou, F.
    Laskaris, N.
    Economou, G.
    Fotopoulos, S.
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2013, 16 (03) : 381 - 392
  • [10] Genetic programming for multibiometrics
    Giot, Romain
    Rosenberger, Christophe
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (02) : 1837 - 1847