HEARD: An automatic human EAR detection technique

@article{Wahab2012HEARDAA,
  title={HEARD: An automatic human EAR detection technique},
  author={Norshariah Abdul Wahab and Elsayed E. Hemayed and M. B. Fayek},
  journal={2012 International Conference on Engineering and Technology (ICET)},
  year={2012},
  pages={1-7}
}
A new class of biometrics based upon ear features was introduced for use in the development of passive identification. This paper presents an efficient technique for automatic ear detection from side face images. The proposed technique detects human's ear without any training or assumption of prior knowledge about the input image, and it does not need any human intervention so it can be used successfully in a fully automated ear recognition system. Two new features have been proposed for ear… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 28 references

Ear Recognition by using Neural Networks, Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering

  • Hazem M. El-Bakry, Nikos Mastorakis
  • 2009
2 Excerpts

Ear Segmentation Using Histogram Based K-means Clustering and Hough Transformation under CVL Dataset

  • Heng Liu, Dekai Liu
  • Proceedings of the SPIE, Volume
  • 2009

Morphological Image Processing, In: Microscope

  • Roberto A. Lotufo, Romaric Audigier, Andre ́ V. Sau ́de, Rubens C. Machado
  • Image Processing,
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…