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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.