Face Detection Method Based on SSR Algorithm

摘要：

In order to achieve high speed and high reliability of face detection system, a feature-based template-matching algorithm to detect a key part between the two eyes used. The method is achieved through divided a filter into six rectangular. The face detection process adopts the integral image theory. Just calculating the information of around the eyes, eyebrows, and nose area, aspect ratio of the value of the SSR filter is set to 2.22:1 through the experimental which improved the SSR algorithm. Using the advantages of gray-level information, it has better reliability on the changes in light conditions. The experiment result shows that the accuracy rate of the standard frontal face detection is 95％;to monitoring images, the accuracy rate of the eyes - human face window location detection is 90％.

关键词： Keywords-face detection template matching SSR algorithm

作者: Kai Song Lei Wang Zhikun Liu

作者单位: Information Science and Engineering College,Shen Yang Li gong University Shenyang 110159 Information Science and Engineering College, Shen Yang Li gong University Shenyang 110159

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 130-133

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）