Publications » The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers
The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers
Andrzej Kasiński, Adam Schmidt
In: Computer Recognition Systems 2
Series: Advances in Soft Computing
Publisher: Springer Berlin / Heidelberg
Publisher's page: http://www.springerlink.com/content/v08647trj328k635/
The precise face and eyes detection is crucial in many Human-Machine Interface system. The important issue is the reliable object detection method. In this paper we present the architecture of a 3-stage face and eye detection system based on the Haar Cascade Classifiers. By applying the proposed system to the set of 10000 test images the 94% of the eyes were properly detected and precisely localized.