Haar-like Features for Robust Real-Time Face Recognition

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)
707 Downloads (Pure)

Abstract

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
systems.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Signal Processing Society
Publication date15 Sep 2013
DOIs
Publication statusPublished - 15 Sep 2013
EventIEEE International Conference on Image Processing - Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013

Conference

ConferenceIEEE International Conference on Image Processing
CountryAustralia
CityMelbourne
Period15/09/201318/09/2013

Fingerprint

Face recognition
Feature extraction
Classifiers
Cameras

Keywords

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

Cite this

Nasrollahi, K., & Moeslund, T. B. (2013). Haar-like Features for Robust Real-Time Face Recognition. In IEEE International Conference on Image Processing IEEE Signal Processing Society. https://doi.org/10.1109/ICIP.2013.6738633
Nasrollahi, Kamal ; Moeslund, Thomas B. / Haar-like Features for Robust Real-Time Face Recognition. IEEE International Conference on Image Processing. IEEE Signal Processing Society, 2013.
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Nasrollahi, K & Moeslund, TB 2013, Haar-like Features for Robust Real-Time Face Recognition. in IEEE International Conference on Image Processing. IEEE Signal Processing Society, IEEE International Conference on Image Processing, Melbourne, Australia, 15/09/2013. https://doi.org/10.1109/ICIP.2013.6738633

Haar-like Features for Robust Real-Time Face Recognition. / Nasrollahi, Kamal; Moeslund, Thomas B.

IEEE International Conference on Image Processing. IEEE Signal Processing Society, 2013.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Nasrollahi K, Moeslund TB. Haar-like Features for Robust Real-Time Face Recognition. In IEEE International Conference on Image Processing. IEEE Signal Processing Society. 2013 https://doi.org/10.1109/ICIP.2013.6738633