Eye Location Based on Adaboost and Region Features

摘要

In this paper, we proposed a novel eye location method based on Adaboost and region features. Firstly, Haar features and Adaboost algorithm are used to extract the eye regions from a face image. Then, we highlight the characteristics of eyes to eye location. The method proposed have been tested in the CAS-PEAL-R1 database and CASIA NIR database separately, and the accuracy rate is 98.86% and 97.68%, which demonstrates the effectiveness of the method.