A Contactless Hand Shape Identification System

摘要：

Geometric measurements of human hand shape have been used for personal autlientication in a number of commercial systems. Yet, traditional hand shape image acquisition devices have auxiliary pegs or planar to help users place their hands correctly for accurate identification. It is not so acceptable for privacy reasons. Moreover, the contact may contaminate and corrode the device. Aiming at these disadvantages, a contactless hand shape identification approach is proposed in this paper. Hand images are captured by the self-developed device in a contactless manner. After that, geometry features are extracted based on key points, which are selected by Sliding Window Filtering Algorithm. Distance measuring is then performed on feature vectors to get a final decision. Experiments show that Equal Error Rate of the system reaches 2.16％ and 2.40％ in two different kinds of data sets.

关键词： hand shape contactless key points extraction

作者: Cui Xin Xiangqian Wu Zhao Qiushi Tang Youbao

作者单位: School of Computer Science and Technology Harbin institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 561-565

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）