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Face recognition is a wide area which is currently studied by lot of researchers and vendors but still there are some areas that even researchers have not touched. Partial face recognition can be considered as one of these areas. Few years back researchers considered that partial face recognition is an unrealistic approach because there is less information which can use to recognize a person. But after the research conducted by researchers like Sato et al (1998), it is proven that partial face region also contain some amount of information that can use to recognition. By conducting this project, I tried to investigate how far partial face regions involve recognizing individual. The artifact allows users to input probe images and then the system will determine individual’s face whose belongs that particular face region. Even though it appears to be a simple process the system should perform intensive amount of work to achieve it. A domain research, which has conducted to identify and study about the problem, related to face recognition, similar system. Then by analysing it I decided to the area that needed constrain in system research. During system research researcher studied about the fundamentals about the image processing, face detection techniques and face recognition techniques. Then after analysing them it decided to select appropriate techniques to extract partial face regions and recognize individuals. The document contains introduction, domain research, system research, project development plan, requirement specification and technical investigation, which contain details about above-mentioned areas. Finally appropriate image processing techniques, face detection techniques and face recognition techniques were selected and justified along with selection of the project developing methodologies and project developing platforms.