Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Ear Detection using Haar-like Feature and Template

Haar-like 특징과 템플릿을 이용한 귀 검출

  • Hahn, Sang-Il (School of Electronic Engineering, Soongsil University) ;
  • Cha, Hyung-Tai (School of Electronic Engineering, Soongsil University)
  • 한상일 (숭실대학교 전자공학과) ;
  • 차형태 (숭실대학교 전자공학과)
  • Published : 2008.11.30
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Abstract

Ear detection in an image processing is the one of the important area in biometrics. In this paper we propose a human ear detection algorithm with side face images. First, we search a face candidate area in an input image by using skin-color model and try to find an ear area based on Haar-like feature. Then, to verity whether it is the ear area or not, we use the template which is excellent object classification compare to recognize the characters in the plate. In this experiment, the proposed method showed that the processing speed is improved by 60% than previous works and the detection success rate is 92%.

영상으로부터 사람의 귀를 검출하는 것은 생체 인식 분야에 있어서 매우 중요한 분야이다. 따라서 본 논문에서는 측면 얼굴 영상으로부터 귀를 검출하는 알고리즘을 제안한다. 제안하는 알고리즘은 먼저 피부색을 이용하여 얼굴 영역을 검출하고 검출된 얼굴 영역으로부터 Haar-like 특징을 이용하여 귀를 검출한다. 그리고 검출된 귀를 검증하기 위해 표준 템플릿을 이용하여 검출된 귀를 검증한다. 실험 결과 본 논문에서 제안된 방법은 기존의 연구에 비해 60%의 처리 속도 향상과 92%의 검출 성공률을 보였다.

Keywords

References

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