MRI-based knee image for personal identification

被引:9
作者
Shamir, Lior [1 ]
机构
[1] Lawrence Technol Univ, Dept Comp Sci, 21000 W 10 Mile Rd, Southfield, MI 48075 USA
基金
美国国家科学基金会;
关键词
biometrics; MRI; image analysis; internal biometrics;
D O I
10.1504/IJBM.2013.052943
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While external body parts such as the face, fingerprints, or retina are often used for biometric identification, it can also be reasonably assumed that internal organs imaged with biomedical imaging devices can also allow biometric identification. Here we studied the use of MRI images for the purpose of biometric identification, and show that the accuracy of person identification using knee MRIs is significantly higher than random. Knee MRI images of 2,686 different patients were used in the experiment, and analysed using the wndchrm image classification scheme. Experimental results show that the rank-10 identification accuracy using the MRI knee images is similar to 93% for a dataset of 100 individuals, and similar to 45% for the entire dataset of 2,686 persons. Since MRI is used for the purpose of imaging internal parts of the body, this approach of biometric identification can potentially offer high resistance to deception.
引用
收藏
页码:113 / 125
页数:13
相关论文
共 31 条
  • [1] Atlas of individual radiographic features in osteoarthritis, revised
    Altman, R. D.
    Gold, G. E.
    [J]. OSTEOARTHRITIS AND CARTILAGE, 2007, 15 : A1 - A56
  • [2] Fake finger detection by skin distortion analysis
    Antonelli, Athos
    Cappelli, Raffaele
    Maio, Dario
    Maltoni, Davide
    [J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2006, 1 (03) : 360 - 373
  • [3] Archibald N., 2010, FORENSIC ANTHR 2000, P329
  • [4] Bishop C., 2011, PATTERN RECOGN, V2nd
  • [5] Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space
    Boniatis, Loannis
    Cavouras, Dionisis
    Costaridou, Lena
    Kalatzis, Ioannis
    Panagiotopoulos, Elias
    Panayiotakis, George
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2007, 37 (12) : 1786 - 1795
  • [6] Internal Fingerprint Identification With Optical Coherence Tomography
    Bossen, Anke
    Lehmann, Roland
    Meier, Christoph
    [J]. IEEE PHOTONICS TECHNOLOGY LETTERS, 2010, 22 (07) : 507 - 509
  • [7] FRACTAL FEATURE ANALYSIS AND CLASSIFICATION IN MEDICAL IMAGING
    CHEN, CC
    DAPONTE, JS
    FOX, MD
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1989, 8 (02) : 133 - 142
  • [8] Use of the "two-slice-touch" rule for the MRI diagnosis of meniscal tears
    De Smet, Arthur A.
    Tuite, Michael J.
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2006, 187 (04) : 911 - 914
  • [9] Incidental meniscal findings on knee MRI in middle-aged and elderly persons
    Englund, Martin
    Guermazi, Ali
    Gale, Daniel
    Hunter, David J.
    Aliabadi, Piran
    Clancy, Margaret
    Felson, David T.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2008, 359 (11) : 1108 - 1115
  • [10] Hudelmaier M, 2001, ARTHRITIS RHEUM, V44, P2556, DOI 10.1002/1529-0131(200111)44:11<2556::AID-ART436>3.0.CO