Biometric identification using knee X-rays.
Biometric identification using knee X-rays.
复制标题
使用膝盖X射线识别生物识别。
DOI：
10.1504/ijbm.2009.024279
复制
发表时间：
2009-01-01
影响因子：
0.7
通讯作者：
Goldberg IG
中科院分区：
文献类型：
--
作者：
Shamir L;Ling S;Rahimi S;Ferrucci L;Goldberg IG
身份识别通常利用面部、指纹和视网膜的独特特征。除此之外，类似的识别过程可以应用于肉眼不可见的身体内部部分。在这里，我们表明，膝盖X射线可用于识别个人。图像分析方法是基于wnd-charm算法，已被发现有效的诊断膝关节的临床条件。实验结果表明，使用425个个体的数据集的rank-10识别准确率为~ 56%，rank-1准确率为~ 34%。该数据集包含了相隔数年拍摄的膝关节X光片，显示出可识别的特征对应于特定的人，而不是关节的当前临床状况。
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.