Using backpropagation neural network for face recognition with 2D+3D hybrid information

Improving user verification by implementing an agent-based security system

“…The intelligent methods are used to extract people from video images, recognize possible intruders, follow persons and recognize unpredicted paths or recognize threats. Sun et al [16] described an intelligent method for user control based on face recognition, which combines 2D and 3D facial features. The information about the 3D face is derived using a Hopfield neural network.…”

Face recognition method based on support vector machine and particle swarm optimization

“…Face recognition belongs to the problem of non-linear, so several artificial intelligence methods have been applied to the face recognition in the past years. At present, artificial neural network, especially BP neural network (BPNN) has commonly applied in face recognition field (Aitkenhead & McDonald, 2003;Intrator, Reisfeld, & Yeshurun, 1996;Sun & Tien, 2008). Because of the local optimal solutions and over-fitting in artificial neural network, the application results in face recognition field are affected by using artificial neural network.…”

A kind of BP neural network algorithm based on grey interval

“…It has broad applications in the fields of pattern recognition, signal processing, automatic control, artificial intelligence, adaptive human-computer interfaces, optimisation computing and communication. In recent years, with the development of ANN, more and more experts and scholars use it and its related knowledge to make a further analysis or obtain solutions of various problems, such as graph colouring, concrete pressure endurance and intensity analysis, studies on mobile vehicle traffic accidents, diagnoses and analysis of ovarian cancer, predication of precipitation, numerical value analysis of nonlinear Schrodinger equations, study of profit patterns on life cycles, study on liquid systems, study on human face recognition and expert systems for breast cancer detection (Karabatak 2008;Li 2008;Nasseri, Asghari, and Abedini 2008;Shirvany, Hayati, and Moradian 2008;Sun and Tien 2008;Suryanarayana, Braibanti, and Rao 2008;Tan, Quek, and Geok 2008;Teemu, Soukka, and Kokki 2008;White and Lakany 2008;Zarandi and Turksen 2008). Great achievement has been made for all these theoretical studies and real applications in their corresponding fields.…”