Human Face Identical using Support Vector Machine

• Main Authors: Jyun-Siang Yang, 楊竣翔
• Other Authors: Wen-Yuan Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/5t5894

碩士 === 國立勤益科技大學 === 電子工程系 === 105 === In this paper, the human face recognition is used for the purpose of research. The study takes two corners and the center point of eyes in the face, and two corners and the center point of the mouth as the feature points. The six feature points connected to each other are used as the eigenvector, and, finally, the face image recognition is completed by support vector machine technology combined with the eigenvector. In the course of the experiment, the face’s upper and lower parts respectively adapt skin color classification and texture technology, and use the histogram technique to find the ROI area of the eye and mouth. In the ROI area, Sobel Edge Detection is used to find two corners of eyes and two corners of the mouth (a total of four feature points),, and then the center point of the two corners separately (a total of 2 feature points). These six feature points are used to calculate the six eigenvectors as the input parameters of the support vector machine. Finally, the face vector recognition is successfully performed by the support vector machine. It is proved that the method can correctly identify the target face in different face data.