Face recognition based on the phase spectrum of local normalized image

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2 Citas (Scopus)

Resumen

This paper proposes a robust faces recognition method based on the Phase Spectrum Features of the local normalized image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using "AR Face Database", which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 95.5%. © 2008 IEEE.
Idioma originalInglés estadounidense
Páginas123-127
Número de páginas5
DOI
EstadoPublicada - 29 dic 2008
Evento7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008 -
Duración: 29 dic 2008 → …

Conferencia

Conferencia7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008
Período29/12/08 → …

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    Olivares-Mercado, J., Hotta, K., Takahashi, H., Perez-Meana, H., & Sanchez-Perez, G. (2008). Face recognition based on the phase spectrum of local normalized image. 123-127. Papel presentado en 7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008, . https://doi.org/10.1109/MICAI.2008.46