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Conference Paper Performance Evaluation of Watermarking Techniques for Secure Multimodal Biometric Systems
Cited 16 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Dae Sung Moon, Tae Hae Kim, Seung Hwan Jung, Yong Wha Chung, Ki Young Moon, Do Sung Ahn, Sang Kyoon Kim
Issue Date
2005-12
Citation
International Conference on Computational and Information Science (CIS) 2005 (LNCS 3802), v.3802, pp.635-642
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11596981_94
Abstract
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 Keywords
Detection accuracy, Dual watermarking, Facial image, Fingerprint image, Multimodal Biometric System, Performance evaluation, facial features, superior performance, user verification