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논문 검색
구분 SCI
연도 ~ 키워드

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학술대회 Performance Evaluation of Watermarking Techniques for Secure Multimodal Biometric Systems
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저자
문대성, 김태해, 정승환, 정용화, 문기영, 안도성, 김상균
발행일
200512
출처
International Conference on Computational and Information Science (CIS) 2005 (LNCS 3802), v.3802, pp.635-642
DOI
https://dx.doi.org/10.1007/11596981_94
협약과제
05MK2100, 고성능 생체정보 서비스 시스템 기술 개발, 문기영
초록
In this paper, we describe various watermarking techniques for secure user verification in the remote, multimodal biometric systems employing both fingerprint and face information, and compare their effects on user verification and watermark detection accuracies quantitatively. To evaluate the performance of watermarking for multimodal biometric systems, we first consider possible two scenarios - embedding facial features into a fingerprint image and embedding fingerprint features into a facial image. Additionally, to evaluate the performance of dual watermarking for secure biometric systems, we consider another two scenarios - with/without considering the characteristics of the fingerprint in embedding the dual watermark. Based on the experimental results, we confirm that embedding fingerprint features into a facial image can provide superior performance in terms of the user verification accuracy. Also, the dual watermarking with considering the characteristics of the fingerprint in embedding the dual watermark can provide superior performance in terms of the watermark detection accuracy. © Springer-Verlag Berlin Heidelberg 2005.
KSP 제안 키워드
Detection accuracy, Dual watermarking, Facial image, Fingerprint image, Multimodal Biometric System, Performance evaluation, facial features, superior performance, user verification