Falcon Face: Real time Face Reconstruction and Recognition

Abstract

In modern forensic science, identifying suspects without photographic evidence remains a significant challenge. This paper introduces an innovative automated system that converts witness-provided textual or verbal descriptions into facial sketches and matches these with a pre-existing facial image database. Through the integration of machine learning and computer vision techniques, the system generates realistic sketches and utilizes facial recognition algorithms to find potential identity matches. This approach is aimed at increasing both the speed and accuracy of criminal investigations, especially in scenarios where descriptions vary in detail or clarity.