Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Iris detection using Hough transform and separable filter

허프 변환과 분리필터를 이용한 홍채 검출

  • Published : 2006.03.01
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Abstract

In this paper we propose a new algorithm to detect the irises of both eyes from a human face. Using the separability filter, the algorithm first extracts blobs(intensity valleys) as the candidates for the irises. Next, for each pair of blobs. the algorithm computes a cost usings Hough transform and separability later to measure the fit of the pair of blobs to the image. And then, the algorithm selects a pair of blobs with the smallest cost as the irises of both eyes. As the result of the experiment using 150 faces images without spectacles, the success rate of the proposed algorithm was 97.3% for the best case and 95.3% for the worst case.

본 논문에서는 얼굴에서 양 눈의 홍채를 검출하기 위한 새로운 알고리즘을 제안하고자 한다. 제안된 방법은 분리 필터를 이용하여 소영역을 먼저 추출하고, 그 중 쌍을 이루고 있는 소영역에 대하여 허프 변환과 분리 필터 값을 연산한다. 제안된 알고리즘은 허프 변환과 분리 필터 값을 최소로 하는 소영역 쌍을 선택하여 양 눈의 홍채로 검출하게 된다. 안경을 착용하지 않은 150장의 얼굴영상을 가지고 제안된 방법으로 실험한 결과 최고 97.3%, 최저 95.3%의 성공률을 얻을 수 있었다.

Keywords

References

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