SciELO - Scientific Electronic Library Online

 
vol.7 issue13Supply channel coordination in a newsvendor model with two allocation quotasTheoretical study of the elastic properties of the minerals Cu3TMSe4 (TM = V, Nb, Ta) by means of atomistic first-principles calculations author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería y Ciencia

Print version ISSN 1794-9165

Abstract

MARTINEZ T, Duber; LOAIZA C, Humberto  and  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.

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

        · abstract in Spanish | Portuguese     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License