Abstract
Criminal record generally contains all the information both personal and criminal with the photograph of the person. In order to recognize Criminal, identification of some sort is required, designated by eyewitnesses. In most cases the resolution or/and quality of the recorded image sections is unsatisfactory and is difficult to recognize the face. Recognition can be achieved in various different ways like DNA, eyes, finger print, etc. One of the ways is face identification. In our proposed methodology, a database is created by storing both full and sliced images of the criminals along with all the personal and criminal details. Then one more database is created in order to identify the criminal; eyewitnesses with the help of a professional will try to build the criminal face using the stored slices stored in the database. Then with the help of the Amazon Rekognition, it predicts the criminal by matching the created image with the existing database, if the result is 70-80% of then that face is declared as a criminal.
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