FACE AND EAR FUSION RECOGNITION BASED ON MULTI-AGENT
Data fusion is one of the most important problems in current image processing field. Non-invasive characteristic of ear and profile face recognition contrary to other biometric recognition, unique ear features and ubiety about face and ear of 3D human head ensure the feasibility for fusing face and ear recognition. A new approach in decision fusion is proposed, the method uses less data than other fusion and has a faster recognition rate. The fusion based on face and ear recognition is a meaningful attempt to explore a novel method of biometric recognition. Eyes are parallel to the recognition process of facial patterns, but actual computer architecture is serial. At present, multi-biometrics authentication systems have not a uniform frame construction. The process of 3D face recognition is described by using recent multi-agent system theory for the first time. A multi-agent face recognizing structure modcl(MAFRSM) for 3D face recognition is proposed. Experiment data show that the MAFRSM can effectively enhance 3D face recognition rate.
Face recognition Ear recognition Decision-level fusion Support vector machine
YONG-MEI ZHANG LI MA BO LI
School of Electronics and Computer Science and Technology, North University of China, Shanxi 030051, School of Electronics and Computer Science and Technology, North University of China, Shanxi 030051, School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beiji
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
46-51
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）