Eye localization for face recognition

Paola Campadelli; Raffaella Lanzarotti; Giuseppe Lipori

RAIRO - Theoretical Informatics and Applications (2006)

  • Volume: 40, Issue: 2, page 123-139
  • ISSN: 0988-3754

Abstract

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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.

How to cite

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Campadelli, Paola, Lanzarotti, Raffaella, and Lipori, Giuseppe. "Eye localization for face recognition." RAIRO - Theoretical Informatics and Applications 40.2 (2006): 123-139. <http://eudml.org/doc/249624>.

@article{Campadelli2006,
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. },
author = {Campadelli, Paola, Lanzarotti, Raffaella, Lipori, Giuseppe},
journal = {RAIRO - Theoretical Informatics and Applications},
keywords = {Eye localization; face recognition; Haar wavelets; support vector machines.; eye localization; support vector machines},
language = {eng},
month = {7},
number = {2},
pages = {123-139},
publisher = {EDP Sciences},
title = {Eye localization for face recognition},
url = {http://eudml.org/doc/249624},
volume = {40},
year = {2006},
}

TY - JOUR
AU - Campadelli, Paola
AU - Lanzarotti, Raffaella
AU - Lipori, Giuseppe
TI - Eye localization for face recognition
JO - RAIRO - Theoretical Informatics and Applications
DA - 2006/7//
PB - EDP Sciences
VL - 40
IS - 2
SP - 123
EP - 139
AB - 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.
LA - eng
KW - Eye localization; face recognition; Haar wavelets; support vector machines.; eye localization; support vector machines
UR - http://eudml.org/doc/249624
ER -

References

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