Facial identification for computerized people access control systems using neural networks

Authors

  • Mario Borja M. Sc. Docente investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Edgar Cabana Vilchez Ing. Docente investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Martín Montes Alumno investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Nilton Cuellar Alumno investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Drago A. Separovich Murata Alumno investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Javier A. Rojas Tintaya Alumno investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.
  • Rudolf H. Molero Alumno investigador de la Facultad de Ingeniería Mecánica de la Universidad Nacional de Ingeniería. Lima, Perú.

DOI:

https://doi.org/10.21754/tecnia.v17i2.373

Keywords:

back-propagation, artificial neural network, image processing

Abstract

In this project, image recognition will be applied through neural networks for facial identification, which will be used for the implementation of systems computerized access control of people, where the identification of faces of people, which will be captured in real time with cameras located at points Strategic access in restricted areas. Based on this experience, the solution to the facial identification problem, based on the facial recognition problem patterns. It is worth mentioning that this research, in addition to solving the problem of Facial identification also considers the creation of software in the form of libraries or modules that can be used for future applications in commonly used language like C++ in any of its presentations and with this it is hoped to create a base for the development of commercial software And finally we also intend to analyze the general problem of pattern recognition, since a recognition could be made to many products, using the same principle, that we use in this project.

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References

[1] Kulkarni, A. D., “Computer Vision and Fuzzy-Neural Systems”. Prentice Hall, New Jersey, 2001.
[2] Uzarieta, F., Saavedra, C., “Redes Neuronales Artificiales”. Departamento de Física, Universidad de Concepción.
[3] Gil, P., Torres, F. Ortiz, F. G,, “Detección de objetos por segmentación multinivel combinada de espacios de color”. Universidad de Alicante, 2004, España.
[4] Gonzáles, R. C., Woods, R. E., “Digital Image Processin”. Prentice Hall, New Jersey, 2002.
[5] Valluru, B. R., “C++ Neural Networks and Fuzzy Logic”. IDG Books Worldwide, 1995.

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Published

2007-12-01

How to Cite

[1]
M. Borja, “Facial identification for computerized people access control systems using neural networks”, TEC, vol. 17, no. 2, pp. 61–70, Dec. 2007.

Issue

Vol. 17 No. 2 (2007)

Section

Articles

License

Copyright (c) 2007 TECNIA

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