Multiple Human Faces Detection and Identification System

• Main Authors: Ko-Shyang Wang, 王科翔
• Other Authors: Ming-Shi Wang
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/16289816641478641381

碩士 === 國立成功大學 === 工程科學系碩博士班 === 93 === In this thesis, an efficient face identification system is proposed. The system can be applied to a security monitoring, doorway intercom and interactivity service, etc. The identification system mainly consists of two sub-systems: one is face detection and another is face recognition. The face detection sub-system detects face search region using skin color information. We detect the possible face images using an ellipse template algorithm, and finally the human face using principal component Analysis (PCA). For the face recognition sub-system, we can extract the low-dimensional discriminative feature parameter for human faces using the discrete wavelet transform (DWT) and Linear Discriminant Analysis (LDA). Finally, we employ the nearest feature line (NFL) to determine the most likely person. We can construct a robust and high-accuracy recognition system. The experimental results in face detection part show that the successful rate is 98.4%. For the face recognition part, the recognition rate for a single image reaches 94%. Finally, the computation time of the entire face recognition system is 0.26 seconds on the average, using a Pentium M 1.5G personal computer.