Adam Schmidt

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

Vol.: 45

Year: 2007

Pages: 124--131

Publisher: Springer Berlin / Heidelberg

Preprint: architecture.pdf

Publisher's page: http://www.springerlink.com/content/v08647trj328k635/

Abstract:

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.