Real-Time Face Recognition in aid of Hair Detection

• Main Authors: mao-ke weng, 翁茂格
• Other Authors: Shih-Hsiung Twu
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/9k7cec

碩士 === 中原大學 === 通訊工程碩士學位學程 === 103 === In this thesis, we will propose a new real-time way to recognize human face. With the aid of hair recognition the correct rate of face recognition would be able to increase by our algorithm. In this thesis, we propose a new face recognition system. The system have two parts. One is face capture and recognition. The other part is hair capture and recognition which is used to be combined to the first part. On the first part, in order to find out the skin color, we transform the image into binary image by converting it from RGB to YCbCr. We use the preset threshold to find out the skin region. After that, four connected erosion and dilation is used to reduce the noise. Then we choose a bigger area to be the recognized skin color region. After that we use human face average proportion which is defined in statistics to limit the width and length to locate the face region. On the second part, we distinguish hair region from background by using Y space. After that the cross-correlation is used to find out the hair part with preparatory proportion image. The hair region can be adapted to be combined to the first part to help the recognition of face region. Finally, we will present the simulation experiments and the comparison with the other researches. The contribution of our research are as follows: Provide a new algorithm of face recognition: Unlike previous face recognition systems, our algorithm is easier and more intuitive by using hair part to improve the correct rate of recognition. Increase the speed of image processing: Because the block identification is used by us, we can remove no significance region abundantly and quickly. It will locate the face region more rapidly and precisely.