Resumen

MARTINEZ T, Duber; LOAIZA C, Humberto  y  CAICEDO B, Eduardo. Una propuesta para incrementar por medio de Algoritmos Genéticos la capacidad discriminante de las técnicas PCA y LDA aplicadas al Reconocimiento de Rostros con Imágenes IR. ing.cienc. [online]. 2011, vol.7, n.13, pp.111-130. ISSN 1794-9165.

PCA and LDA are two of most widely used techniques for face recognition with IR images. In this paper we report the results obtained by using Genetics Algorithms for optimization the characteristic vector generated by these techniques, by assignation of weights to each vector according its performance in the classification task. It shows that, under the proposed scheme, is able to obtain a lower classification error compared to conventional method.

Palabras clave : Faces recognition; infrared images; genetic algorithm; Principal Component Analysis; Linear Discriminant analysis.

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