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Biometric identification using knee X-rays.

Lior Shamir¹, Shari Ling, Salim Rahimi

¹Laboratory of Genetics, National Institute on Aging, National Institutes of Health 251, Bayview boulevard, Baltimore, MD 21224, Tel: 410-558-8682 ,

International Journal of Biometrics

|January 5, 2010

Summary

This summary is machine-generated.

Related Concept Videos

X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...

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Knee X-rays can identify individuals using unique bone structures. This study demonstrates the potential of radiographic imaging for biometric identification, independent of joint health status.

Area of Science:

Radiology
Biometrics
Medical Imaging Analysis

Background:

Biometric identification commonly relies on external features like faces and fingerprints.
Internal anatomical structures offer potential for unique, less accessible identification methods.

Purpose of the Study:

To investigate the feasibility of using knee X-rays for individual identification.
To assess the efficacy of the wnd-charm algorithm for this purpose.

Main Methods:

Utilized the wnd-charm image analysis algorithm on a dataset of 425 individuals' knee X-rays.
Included images taken years apart to differentiate personal identification from clinical condition.

Main Results:

Achieved a rank-10 identification accuracy of approximately 56%.

Related Experiment Videos

Achieved a rank-1 identification accuracy of approximately 34%.

Identifiable features remained consistent over time, correlating with individuals, not joint condition.

Conclusions:

Knee X-rays possess unique, stable features suitable for personal identification.
The wnd-charm algorithm shows promise for radiographic biometric applications.