Abstract: This study presents an application of mobile agent technology to solve the problem of web-based face recognition. Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult. The current face recognition models, which suffer from slow performance and platform dependence. The proposed system is a network-oriented system involving not only face detection but also facial feature extraction and graph matching schemes. For high performance in terms of reduced processing time and better flexibility, we introduce an innovative four-layer structural model and a three-dimension operational model. In addition, the proposed system integrates the computing advantages of mobile agents with several improved face recognition algorithms to enhance system robustness. Preliminary experimental results demonstrate the advantages and potentialities of the approach for face recognition on the web.
Md. Geaur Rahman, Somlal Das, A.R.S. Ahmed Siddique and Md. Khademul Islam Molla, 2010. A Web-Based Face Recognition System Using Mobile Agent Technology. Asian Journal of Information Technology, 9: 91-97.