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Face recognition by fast and stable bi-dimensional empirical mode decomposition

Face recognition by fast and stable bi-dimensional empirical mode decomposition
 
Gallego Jutglà, Esteve ; Al-Baddai, Saad ; Al-Subari, Karema ; Tomé, Ana Maria ; Lang, Elmar W. ; Solé-Casals, Jordi
2015

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Nombre: artconlli_a2015_gallego_esteve_face_recognition.pdf
Tamaño: 696.6Kb
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Enllaç permanent: http://hdl.handle.net/10854/4367
 
Versió de l'editor: https://doi.org/10.5220/0005337003850391
 

Resumen

In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with reference images is computed. Three different types of distances are tested. Then class association is based on ...»»»»
In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with reference images is computed. Three different types of distances are tested. Then class association is based on minimum distance and by using a classifier. Preliminary results (90.0% of classification rate) are satisfactory and will justify a deep investigation on how to apply this bi- dimensional decomposition technique for face recognition.^^^^

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Artículo

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(c) SciTePress - Science and Technology Publications
 

Citación Bibliográfica:

Gallego-Jutglà, E., Al-Baddai, S., Al-Subari, K., Tomé, A. M., Lang, E. W., & Solé-Casals, J. (2015). Face recognition by fast and stable bi-dimensional empirical mode decomposition. 8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015, pp. 385-391.