Human Ear Detection from Side Face Range Images

  • Authors:
  • Hui Chen;Bir Bhanu

  • Affiliations:
  • University of California, Riverside;University of California, Riverside

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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Abstract

Ear detection is an important part of an ear recognition system. In this paper we address human ear detection from side face range images. We introduce a simple and effective method to detect ears, which has two stages: offline model template building and on-line detection. The model template is represented by an averaged histogram of shape index. The on-line detection is a four-step process: step edge detection and thresholding, image dilation, connect-component labeling and template matching. Experiment results with real ear images are presented to demonstrate the effectiveness of our approach.