Testing Some Morphological Approaches to Face Localization

In this paper we present the results of the use of some morphological approaches to feature extraction for face localization in gray level images. Namely we have applied the Morphological Multiscale Fingerprints (MMF), and two grayscale Hit-or-Miss transforms. The morphological feature extraction techniques tested belong to the class of global image feature extraction approaches. They can be combined with others to ensure a more robust face localization. No structural relationships between face elements are taken into account. We compare these results with those obtained using a standard PCA approach.

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