A novel fuzzy rule base system for pose independent faces detection

@article{Moallem2011ANF,
  title={A novel fuzzy rule base system for pose independent faces detection},
  author={Payman Moallem and Bibi Somayeh Mousavi and S. Amirhassan Monadjemi},
  journal={Appl. Soft Comput.},
  year={2011},
  volume={11},
  pages={1801-1810}
}
Human face detection plays an important role in a wide range of applications such as face recognition, surveillance systems, video tracking applications, and image database management. In this paper, a novel fuzzy rule-based system for pose, size, and position independent face detection in color images is proposed. Subtractive clustering method is also applied to decide on the numbers of membership functions. In the proposed system, skin-color, lips position, face shape information and ear… CONTINUE READING
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Key Quantitative Results

  • It shows about 98, 96 and 90% correct detection rates over 783 samples, in frontal, near frontal and profile face images, respectively.

Citations

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Face recognition from video using generalized mean deep learning neural network

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A novel approach for face detection using artificial neural network

  • 2013 International Conference on Intelligent Systems and Signal Processing (ISSP)
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