A Benchmark Terrorist Face Recognition Database

Terrorism remains to be among the most significant global dangers by 2020. A considerable literature has grown around the theme of the fight against terrorism. However, to the best of our knowledge, no research work has been performed on terrorist face images caught in real-world and uncontrolled conditions. In this context, we propose in this paper a terrorist suspect face recognition database. Following substantial studies and analysis on some terrorist attacks that have occurred since 2013, faces of terrorists have been collected from the net. The LATIS-PACTE-PROFILER database is made available to the research community. For validation and benchmarking purposes, we propose a face identification approach based on the HOG features and the SVM classifier.

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