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Empirical mode decomposition-based face recognition system
Gallego Jutglà, Esteve; Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi
Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Grup de Recerca en Tecnologies Digitals; International Conference on Bio-Inspired Systems and Signal Processing Biosignals 2013 ( Barcelona : 11/13-2-2013); BIOSIGNALS 2013
In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the image and the modes of the representative image of each class is calculated using three different distance measures. Then, a neural network is trained using 10- fold cross validation in order to derive a classifier. Preliminary results (over 98 % of classification rate) are satisfactory and will justify a deep investigation on how to apply mEMD for face recognition.
2013
Xarxes neuronals (Informàtica)
Biometria
(c) Springer (The original publication is available at www.springerlink.com)
Tots els drets reservats
6 p.
info:eu-repo/semantics/conferenceObject
Springer
         

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