【摘要】 步态识别作为一种新的生物特征识别技术,通过人走路的姿势实现对个人身份的识别和认证。利用傅立叶描绘子对步态轮廓图像进行描述,用步态图像的高宽比进行步态的准周期性分析,并采用动态时间规正算法解决不同的步态周期的图像序列之间的比较问题。该算法在CMU数据库上面进行试验取得了较高的正确识别率。更多还原

【Abstract】 Gait recognition,as an automatic identification of an individual based on his/her style of walking is a new biometrics recognition technology. Gait contour by using Fourier descriptors was described,to make quasi-periodic analysis on height and width ratio of gait image,and to solve the problems resulting from image sequence of different gait cycle by using dynamic time warping. By utilizing the algorithm,the experiments made on CMU database have achieved comparatively high correction identification ratio.更多还原