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In today’s sensitive environment, there are so many biometric technologies including face recognition are available for person recognition and are coming of age due to the need to address sensitive security concerns in the 21st century. But, the single biometrics technique is not adequate for person identity recognition due to both sufficiently accurate and useracceptable for universal application. The main challenges of face recognition today are handling & implementing the different stages of face recognition such as capturing face, the feature extraction stage, Color segmenation, Skin-region detection stage, the template acquisition and classification stage are spatially and functionally distributed, with complex hierarchies of security levels and interacting user requirements. An approach based on innovative multi-agent based computing paradigm is sufficient & promising towards the face recognition systems deployed in such distributed environments. This paper is organized as follows. Part 1 discusses introduction; Part 2 discusses the technology of face recognition with its application domain & tools; Part 3 discusses the agent technology with multi-based computing paradigm with highlighting its three-layer structural model and three-layer functional model; Part 4 reviews previous approaches in related multi-agent based computing paradigm towards face recognition