Shamir Lior, Ling Shari, Rahimi Salim, Ferrucci Luigi, Goldberg Ilya G
Laboratory of Genetics, National Institute on Aging, National Institutes of Health 251, Bayview boulevard, Baltimore, MD 21224, Tel: 410-558-8682 , Email:
Int J Biom. 2009 Jan 1;1(3):365-370. doi: 10.1504/IJBM.2009.024279.
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.
对人的识别通常利用面部、指纹和视网膜的独特特征。除此之外，类似的识别过程也可应用于肉眼不可见的身体内部部位。在此我们表明，膝盖X光片可用于个人身份识别。图像分析方法基于wnd-charm算法，该算法已被发现对膝关节临床病症的诊断有效。实验结果表明，使用425名个体的数据集，排名前10的识别准确率约为56%，排名第1的准确率约为34%。该数据集包含相隔数年拍摄的膝盖X光片，表明可识别特征对应特定的人，而非关节当前的临床状况。
