An FPGA-Based Real-Time Face Detection & Recognition System across Illumination
K. Veeramanikandan1, R.Ezhilarasi2, R. Brindha3
1K. Veeramanikandan, Department of CSE, V.R.S. College of Engineering & Technology,Villupuram,Tamil Nadu,India.
2R.Ezhilarasi, Department of CSE, V.R.S. College of Engineering & Technology, Villupuram, Tamil Nadu,India.
3R.Brindha,Department of CSE, V.R.S. College of Engineering & Technology, Villupuram, Tamil Nadu,India.
Manuscript received on March 11, 2013. | Revised Manuscript Received on March 12, 2013. | Manuscript published on March 25, 2013. | PP: 66-68 | Volume-1 Issue-5, March 2013. | Retrieval Number: E0234031513/2013©BEIESP
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© The Authors. Published By: 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: Automated face recognition is an interesting computer vision problem with many commercial and law enforcement applications. Mug shot matching, user verification and user access control, crowd surveillance, enhanced human computer interaction all become possible if an effective face recognition system can be implemented. This paper presents a complete real-time face recognition system consisting of face detection, recognition and a down sampling module using an FPGA. The focus is on subspace techniques, investigating the use of image Pre-processing applied as a preliminary step in order to reduce error rates. Our method is simple and fast, which makes it useful for real-time applications, embedded systems, or mobile devices with limited resources.
Keywords: Ada Boost, Face recognition, face detection, Mug shot matching.