Title: Biometric identification using knee X-rays

 

Author: Lior Shamir, Shari Ling, Salim Rahimi, Luigi Ferrucci, Ilya G. Goldberg

 

Addresses:
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, 251 Bayview boulevard, Baltimore, MD 21224, USA.
Clinical Research Branch, National Institute on Aging, National Institutes of Health, 3001 S. Hanover Street, Baltimore, MD 21225, USA.
Department of Computer Engineering, State University of New York at Farmingdale, 2350 Broadhollow Rd, Farmingdale, NY 11735, USA.
Clinical Research Branch, National Institute on Aging, National Institutes of Health, 3001 S. Hanover Street, Baltimore, MD 21225, USA.
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, 251 Bayview boulevard, Baltimore, MD 21224, USA

 

Journal: Int. J. of Biometrics, 2009 Vol.1, No.3, pp.365 - 370

 

Abstract: Identification of people often makes use of unique features of the face, fingerprints and retina. Beyond this, a similar identifying process can be applied to internal parts of the body that are not visible to the unaided eye. Here we show that knee X-rays can be used for the identification of individual persons. The image analysis method is based on the wnd-charm algorithm, which has been found effective for the diagnosis of clinical conditions of knee joints. Experimental results show that the rank-10 identification accuracy using a dataset of 425 individuals is ∼56%, and the rank-1 accuracy is ∼34%. The dataset contained knee X-rays taken several years apart from each other, showing that the identifiable features correspond to specific persons, rather than the present clinical condition of the joint.

 

Keywords: biometrics; knee X-rays; radiography; knee bone; knee joints; human recognition; image analysis; knees.

 

DOI: 10.1504/IJBM.2009.024279

10.1504/09.24279

 

 

Purchase this articleComment on this article