The architecture of the face and eyes detection system based on Cascade Classifiers

Andrzej Kasiński; Adam Schmidt

doi:10.1007/978-3-540-75175-5_16

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Title

The architecture of the face and eyes detection system based on Cascade Classifiers

Authors

Andrzej Kasiński (WE) ^{[ 1 ][ P ]}
Adam Schmidt (WE) ^{[ 1 ][ P ]}

^{[ 1 ]} Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2007

Chapter type

paper

Publication language

english

Abstract

EN 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.

Pages (from - to)

124 - 131

DOI

10.1007/978-3-540-75175-5_16

URL

https://link.springer.com/chapter/10.1007/978-3-540-75175-5_16

Book

Computer Recognition Systems 2

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

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