Face recognition via open source technology

Authors

  • Bobby O. Corpus ⋅ PH Department of Computer Science, University of the Philippines Diliman
  • Augusto Y. Hermosilla ⋅ PH Department of Mathematics, University of the Philippines Diliman
  • Ernesto P. Adorio ⋅ PH Department of Mathematics, University of the Philippines Diliman
  • Prospero C. Naval ⋅ PH Department of Computer Science, University of the Philippines Diliman

Abstract

The face recognition (FR) problem is to determine from a given frontal face photograph the nearest matching person in the database of faces. In this article, we describe the mathematical basis and a software framework for performing face recognition using the comprehensive and open-source data and statistical analysis R and Stuttgart Neural Networks Simulator (SNNS) software technologies. The approach currently implemented is the data reductive and compressive Principal Components Analysis (PCA) to search for the optimal eigenfaces basis that captures the information for the associated face database.

SPP 2005 Proceedings Cover

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Published

2005-10-26

Issue

2005: Proceedings of the 23rd Samahang Pisika ng Pilipinas Physics Congress

Section

Image and Signal Processing

License

Copyright License Agreement for Full Articles

How to Cite

[1]
“Face recognition via open source technology”, Proc. SPP, vol. 23, no. 1, pp. SPP–2005, Oct. 2005, Accessed: Apr. 04, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2005-1D-04