Face recognition via open source technology

Authors

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

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Issue

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

Article ID

SPP-2005-1D-04

Section

Image and Signal Processing

Published

2005-10-26

How to Cite

[1]

BO Corpus, AY Hermosilla, EP Adorio, and PC Naval, Face recognition via open source technology, Proceedings of the Samahang Pisika ng Pilipinas 23, SPP-2005-1D-04 (2005). URL: https://proceedings.spp-online.org/article/view/SPP-2005-1D-04.