An Algorithm Based On the Harris Corner Detector to Identify the Palmprint Eztraction

摘要：

This paper made an algorithm based on the Harris corner detector to identify the palmprint extraction. Firstly,Harris corner detector applied to the enhanced palmprint images,to detect the details of Palmprint variation point and the curvature of the points. Used SUSAN algorithm to extract more than three rough corners,and then carried out using the Harris corner points of the filter in order to more accurately determine the unique identifier of different palm prints. This algorithm is reliable,rapid,and suitable in practical applications.

作者: Lei Wang Yuming Shen

作者单位: University of Shanghai for Science and Technology,Shanghai,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3239-3242

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）