Face Detection and Recognition for Digital Forensics

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Surveillance methods are becoming widely popular in many organizations, including law enforcement, traffic control and residential applications. A reliable mechanism to record and track human activities is through analyzing images. In particular, investigations are performed by searching for specific people in pictures. As the numbers of such images are increasing, manual examination of all frames becomes cumbersome. Some degree of computerization is strongly recommended. This paper discusses the possibility of developing a new software to achieve this. On analyzing the potential of various programming languages for image processing, Python has been opted for development as it provides a range of image manipulation libraries. This way, software is created where photos can be imported from different locations in the system and clustered according to the faces in these images. The application designed is helpful during investigation processes and helps in validating claims and evidence.

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