Eye localization for face recognition

Eye localization for face recognition

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. Mathematics Subject Classific...

A Novel Eye Localization Method for Face Recognition

In this paper we introduce a fast, robust, accurate eye localization algorithm. Detecting and normalizing human faces from live video streams is the first crucial step in a face verification/recognition system. The accuracy and robustness affect the performance of the following face registration and classification. To localize face regions properly, we detect eye corners by using a corner detec...

Face Localization for Face Recognition in Video

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Eye Movements in Face Recognition

Robust Face Recognition Using Multiple Eye Positions

This paper describes a robust face recognition algorithm using multiple candidate eye positions to improve recognition. Face recognition systems consist of four major stages. They are face detection, eye detection, face normalisation and face recognition. Most recognition schemes (eg. PCA) assume accurate knowledge of eye positions. By using multiple candidate eye positions, inaccuracies in eye...