In this paper human face machine identification is experienced using optical correlation techniques in spatial frequency domain. This approach is tested on ORL dataset of faces which includes face images of 40 subjects, each in 10 different positions. The examined optical setup relies on optical correlation based on developing optical Vanderlugt filters and its basics are described in this article. With the limitation of face database of 40 persons, the recognition is examined successfully with nearly 100% of accuracy in matching the input images with their respective Vanderlugt synthesized filters. Software simulation is implemented by using MATLAB for face identification.
References
[1]
Kaatuzian, H. (2009) Photonics, Volume 2. 2nd Edition, Amirkabir University Press, Tehran. (In Persian)
[2]
Napoleon, T. and AlFalou, A. (2014) Local Binary Patterns Preprocessing for Face Identification/Verification Using the VanderLugt Correlator. Proc. of SPIE, 9094.
[3]
Goodman, J.W. (1988) Introduction to Fourier Optics. 2nd Edition, McGraw-Hill, New York.
[4]
Watanabe, E., et al. (2008) Ultrahigh-Speed Optical Correlation System Using Holographic Disc. The Japan Society of Applied Physics, Ja-pan.
[5]
Alfalou, A. and Brosseau, C. (2010) Understanding Correlation Techniques for Face Recognition: From Basics to Appli-cations. In: Oravec, M., Ed., Face Recognition, InTech.
[6]
Steward, E.G. (1987) Fourier Optics, 2nd Edition, Dover Publications, Mineola, New York.
[7]
Alizadeh, A.(2002) Simulation, Design and Implementation of a Hybrid Optical Processor for Processing Images. M.Sc. Thesis, Amirkabir University of Technology, Iran.
[8]
AT&T Laboratories Cambridge (1994) ORL Face Data-base.
