ISSN : 1796-2048
Volume : 1    Issue : 4    Date : July 2006

On the Use of External Face Features for Identity Verification
Àgata Lapedriza, David Masip and Jordi Vitrià
Page(s): 11-20
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In general automatic face classification applications images are captured in natural environments.
In these cases, the performance is affected by variations in facial images related to illumination,
pose, occlusion or expressions. Most of the existing face classification systems use only the
internal features information, composed by eyes, nose and mouth, since they are more difficult to
imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in
these cases the information located at head, chin or ears zones (external features) can be useful to
improve the current accuracies. However, the lack of a natural alignment in these areas makes
difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a
complete scheme based on a Top-Down reconstruction algorithm to extract external features
of face images. To test our system we have performed face verification experiments using public
databases, given that identity verification is a general task that has many real life applications. We
have considered images uniformly illuminated, images with occlusions and images with high local
changes in the illumination, and the obtained results show that the information contributed by the
external features can be useful for verification purposes, specially significant when faces are
partially occluded.

Index Terms
Face Verification, Computer Vision, Machine Learning