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MatlabSoftware in PC to Replace an Embedded System Used for Face Recognition

M. R. Osnaya 1, M. F. Rocha 1, Z. C. Flores 1, R. Navarrete 1, E. Andrade 2, C. Canto 2, M. E. Rocha 3, and M. I. Rocha G.4
1. ESIME-Z, Instituto Politécnico Nacional, ALM Zacatenco, México D.F. 07738, México
2. Instituto de Física, Universidad Nacional Autónoma de México, Apartado Postal 20-364, México D. F. 01000, México
3. Physics Department, ISB 313, University of California, Santa Cruz, CA 95064
4. Institut Jean Lamour, UMR 7198 CNRS-Universite de Lorraine, ENSTIB, 27 rue Philippe Seguin, BP 1041

Abstract—Currently in the European and American markets are highly developed systems of fingerprint recognition which commercial cost is in the range of one hundred to five hundred thousand dollars. The human faces recognition in digital images is very useful in environments where it is impossible monitoring of people, facilitating the detection of persons who are in a database of suspects. Face identification is also a good biometric method which can be used in access control and restricted areas. The use of artificial neural networks to solve the problem of face recognition and the need for a priori knowledge of the statistical distribution of the data, inherent parallelism, rapid classification and the most important thing is fault tolerance. This proposal is developed to Practice to users, small businesses, industry and government to promote compliance with standards, knowledge and development of biometrics. Therefore, in this paper a series of algorithms that run on a personal computer, are written in Matlab code, to date, this software is rapidly gaining users to solve problems as presented, is presented because the costs will be reduced drastically.

Index Terms—face recognition, Matlab, neural networks

Cite: M. R. Osnaya, M. F. Rocha, Z. C. Flores, R. Navarrete, E. Andrade, C. Canto, M. E. Rocha, and M. I. Rocha G., "MatlabSoftware in PC to Replace an Embedded System Used for Face Recognition," Journal of Industrial and Intelligent Information, Vol. 4, No. 2, pp. 151-157, March 2016. doi: 10.18178/jiii.4.2.151-157
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