The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers
نویسندگان
چکیده
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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تاریخ انتشار 2008