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Eye localization for face recognition

Published online by Cambridge University Press:  20 July 2006

Paola Campadelli ,
Raffaella Lanzarotti  and
Giuseppe Lipori
Paola Campadelli
Affiliation:
Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, via Comelico, 39/41 20135 Milano, Italy; campadelli@dsi.unimi.it, lanzarotti@dsi.unimi.it, lipori@dsi.unimi.it
Raffaella Lanzarotti
Affiliation:
Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, via Comelico, 39/41 20135 Milano, Italy; campadelli@dsi.unimi.it, lanzarotti@dsi.unimi.it, lipori@dsi.unimi.it
Giuseppe Lipori
Affiliation:
Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, via Comelico, 39/41 20135 Milano, Italy; campadelli@dsi.unimi.it, lanzarotti@dsi.unimi.it, lipori@dsi.unimi.it
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Abstract

We present a novel eye localization method which can be used in face recognition applications. It is based on two SVM classifiers which localize the eyes at different resolution levels exploiting the Haar wavelet representation of the images. We present an extensive analysis of its performance on images of very different public databases, showing very good results.

Keywords

Eye localizationface recognitionHaar waveletssupport vector machines.
Type
Research Article
Information
RAIRO - Theoretical Informatics and Applications , Volume 40 , Issue 2: Alberto Bertoni: Climbing summits , April 2006 , pp. 123 - 139
Copyright
© EDP Sciences, 2006

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