手骨身份识别系统

Hand bone's identification system

为了提高身份识别的正确率,加大身份识别伪造的难度,提出一种基于手骨的身份识别方法,并设计实现一种手骨身份识别系统.基于手骨的身份识别方法主要包括:首先获取手骨正位X光图像,然后对该图像进行Harris角点检测,通过Snake模型提取手骨轮廓图像,计算图像的小波矩作为手骨图像的特征值.最后先通过模糊C均值聚类算法进行聚类操作,再通过支持向量机进行分类识别,完成手骨的身份识别.在该方法的基础上,设计实现一种手骨身份识别系统,由于手骨X光图像的唯一性并且很难进行伪造,提高了身份识别的正确率和安全性.

In order to improve the correctness and increase the faking difficulty oflD identification, the authors propose an ID identification method on basis of hand bone, design and realize a kind of hand bone ID identification system in this paper. The method is described as follows： first, get the X-ray image of hand bone at correct position; then detect the Harris comer of the image, extract contour image of hand bone by Snake model, calculate the wavelet moment of image and take it as the eigenvalue of image; finally, conduct clustering operation by fuzzy C-means clustering algorithm and implement classification and identification by support vector machine, so to complete the ID identification of hand bone. On basis of the method, a kind of hand bone ID identification system is designed. Because of the uniqueness of the x-ray image of hand bone and the difficulty to fake, the system improves the correctness and security oflD identification.