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Table 1 Detection performance comparisons

From: Efficient face detection method with eye region judgment

 

Database

Detection rate (%)

False positive rate

Traditional Adaboost face detector with Haar-like features

FERET

97.3264

4.094 × 10−5

The hybrid Adaboost-based face detector of PFMPF and PBHFA

96.4839

5.588 × 10−4

Proposed system

97.0745

4.464 × 10−5

Traditional Adaboost face detector with Haar-like features

CMU

90.4635

3.485 × 10−3

The hybrid Adaboost-based face detector of PFMPF and PBHFA

86.7904

1.594 × 10−2

Proposed system

 

89.9178

4.344 × 10−3

  1. Comparisons among the proposed system, the hybrid Adaboost-based face detector of PFMPF and PBHFA, and the traditional Adaboost face detection system that uses the Haar-like features.