The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers

  • Andrzej Kasinski
  • Adam Schmidt
Part of the Advances in Soft Computing book series (AINSC, volume 45)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrzej Kasinski
    • 1
  • Adam Schmidt
    • 1
  1. 1.Institute of Control and Information EngineeringPoznanPoland

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