"Effect of Noise Blur and Motion on Global Appearance Face Recognition based Methods Performance" | Zendy

Dalila Cherifi | Zendy; Nadjet Radji | Zendy; Amine NaïtAli | Zendy

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"Effect of Noise Blur and Motion on Global Appearance Face Recognition based Methods Performance"

Author(s) -

Dalila Cherifi,

Nadjet Radji,

Amine NaïtAli

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/2019-2723

Subject(s) - motion blur , computer science , face (sociological concept) , computer vision , artificial intelligence , noise (video) , motion (physics) , facial recognition system , pattern recognition (psychology) , image (mathematics) , social science , sociology

In this work, an objective comparison between some common global appearance face recognition based methods (PCA, FLD, SVD, DCT, DWT and WPD) has been carried out when considering some natural effects that may decrease the performances. In particular, effects such as blur, motion, noise and their combination are taken into account. To evaluate the performances, FEI database containing images corresponding to 200 individuals are used. For each individual, 14 positions have been considered. The quality of face reconnaissance is measured using the wellknown Equal Error Rate (EER) criteria. Interesting results are obtained highlighting the superiority, in some specific contexts, of some of the evaluated methods.

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