Haar-like Features for Robust Real-Time Face Recognition

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Face recognition is still a very challenging task when the input
face image is noisy, occluded by some obstacles, of very
low-resolution, not facing the camera, and not properly illuminated.
These problems make the feature extraction and
consequently the face recognition system unstable. The proposed
system in this paper introduces the novel idea of using
Haar-like features, which have commonly been used for
object detection, along with a probabilistic classifier for face
recognition. The proposed system is simple, real-time, effective
and robust against most of the mentioned problems. Experimental
results on public databases show that the proposed
system indeed outperforms the state-of-the-art face recognition
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Signal Processing Society
Publication date15 Sep 2013
Publication statusPublished - 15 Sep 2013
EventIEEE International Conference on Image Processing - Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013


ConferenceIEEE International Conference on Image Processing


  • Haar-like rectangular features
  • face recognition
  • integral images


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