워터마크를 이용한 위조 홍채 영상 식별
In this paper, we propose a describes how to detect a false iris image by inserting watermark into a iris image. The existing method, which inserts the watermark into the entire iris image to detect a fake iris, has a problem that can evade it by segmenting iris region of an iris image. The purpose...
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| Published in | 한국컴퓨터정보학회논문지 Vol. 23; no. 4; pp. 33 - 39 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | Korean |
| Published |
한국컴퓨터정보학회
01.04.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1598-849X 2383-9945 |
| DOI | 10.9708/jksci.2018.23.04.033 |
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| Abstract | In this paper, we propose a describes how to detect a false iris image by inserting watermark into a iris image. The existing method, which inserts the watermark into the entire iris image to detect a fake iris, has a problem that can evade it by segmenting iris region of an iris image. The purpose of overcoming the problem, this paper proposes a new fake iris detection technique based on digital watermark. It first searches a central point of an iris image, divide the image into blocks with respect to the point. executes Discrete Cosine Transform, inserts watermark into the blocks, and then verifies an iris image using NC(Normalized Correlation). In the experiments, we confirm the robustness for attacks – crop and JPEG. KCI Citation Count: 3 |
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| AbstractList | In this paper, we propose a describes how to detect a false iris image by inserting watermark into a iris image. The existing method, which inserts the watermark into the entire iris image to detect a fake iris, has a problem that can evade it by segmenting iris region of an iris image. The purpose of overcoming the problem, this paper proposes a new fake iris detection technique based on digital watermark. It first searches a central point of an iris image, divide the image into blocks with respect to the point. executes Discrete Cosine Transform, inserts watermark into the blocks, and then verifies an iris image using NC(Normalized Correlation). In the experiments, we confirm the robustness for attacks – crop and JPEG. KCI Citation Count: 3 |
| Author | 이사무엘(Samuel Lee) 김계영(Gye-Young Kim) 김만기(Man-Ki Kim) |
| Author_xml | – sequence: 1 fullname: 김만기(Man-Ki Kim) – sequence: 2 fullname: 이사무엘(Samuel Lee) – sequence: 3 fullname: 김계영(Gye-Young Kim) |
| BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002339657$$DAccess content in National Research Foundation of Korea (NRF) |
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| DocumentTitleAlternate | Fake Iris Image Detection based on Watermark |
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| Keywords | Fake Biometric Discrimination Digital Watermarking Iris Image Discrete Cosine Transform |
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| Snippet | In this paper, we propose a describes how to detect a false iris image by inserting watermark into a iris image. The existing method, which inserts the... |
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| Title | 워터마크를 이용한 위조 홍채 영상 식별 |
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| ispartofPNX | 한국컴퓨터정보학회논문지, 2018, 23(4), 169, pp.33-39 |
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