Abstract
In this paper we present the methodology and the working plan of a PhD thesis about facial recognition. We propose a high level algorithm based on graph matching that will be adapted to parallel hardware architectures. This architecture must satisfy real-time constraints, and will be implemented through a multi-agent system and grid computing. Real time is incorporated at the low level by redefining the computer vision operators using imprecise computing techniques. The experiments have been performed with the BioID face database and the results show that our system has high recognition rates and low FRR and FAR rates.
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Espí, R., Pujol, F.A., Mora, H., Mora, J. (2009). Development of a Distributed Facial Recognition System Based on Graph-Matching. In: Corchado, J.M., Rodríguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_58
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DOI: https://doi.org/10.1007/978-3-540-85863-8_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85862-1
Online ISBN: 978-3-540-85863-8
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