Learning Role of Facial Marks in Automatic Face Recognition for Forensic Science Applications
Rahul Vivek Purohit1, Syed .A. Imam2
1Rahul vivek Purohit, Asst. Prof, ECE Deptt, Ajay Kumar Garg Engineering College, Ghaziabad, India.
2Syed A Imam, Asst. Prof, ECE Deptt, Jamia Millia Islamia University, New Delhi, India.
Manuscript received on January 22, 2013. | Revised Manuscript received on February 17, 2013. | Manuscript published on February 28, 2013. | PP: 542-544 | Volume-2 Issue-3, February 2013. | Retrieval Number: C1189022313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In forensic science applications, when an image is partially damaged or occluded, some ancillary information like facial marks and gender can be used to enhance the face recognition accuracy. This information coupled with traditional face matcher provides more descriptive evidence and at the same time may speed up the recognition process. This paper proposes a method to utilize facial marks for improving face image matching.
Keywords: Soft biometric, facial marks, global features, face vacs.