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An investigation of Face Matching and Retrieval in Cyber Forensics Applications

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Figure

Figure 1. Major steps in automatic face recognition.  Automated face recognition systems (FRSs) involve finding key facial landmarks for alignment, normalizing the appearance of the face, choosing a suitable feature representation, learning
Figure 2. The reduction in error rate for state-of-the- art face-recognition algorithms as documented through the FERET, FRVT 2002, FRVT 2006, and MBE 2010 face evaluations conducted by NIST
Figure 4. Accuracy of a leading COTS FRS as a  function of the time lapse between the probe and gallery images across a mug shot database containing 94,631 face images of 28,031 subjects
Figure 9). Rank-1 indicates the top match out of all
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