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Content Provider | IEEE Xplore Digital Library |
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Author | Sooyeun Jung Dongeun Lee Seongwon Lee Joonki Paik |
Copyright Year | 2007 |
Description | Author affiliation: Chung-Ang Univ., Seoul (Sooyeun Jung; Joonki Paik) |
Abstract | In this paper we propose a method that identifies users in latest compressed streaming with their biometric watermark. Since the fingerprint is the most economical and the most widely used biometric feature, the digital fingerprint watermark system can be one of the best biometric security system. In this paper we propose a digital fingerprint watermark technique that can survive under very low bit rate compression. The proposed algorithm consists of preprocessing of the fingerprint image, watermark insertion using discrete wavelet transform, and watermark recovery. The damaged watermark by high compression ratio can be effectively restored with preprocessing before watermark insertion and accumulation of extracted watermarks in the stream. The simulation results show that the extraction accuracy increases over 99% in the highly compressed H.264 streaming. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 814779 |
Page Count | 5 |
File Format | |
ISBN | 9781424409822 |
DOI | 10.1109/ICICS.2007.4449796 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-12-10 |
Publisher Place | Singapore |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Biometrics Robustness Watermarking Streaming media Fingerprint recognition Image coding Discrete wavelet transforms Video compression Security Bit rate Wavelet transform Fingerprint |
Content Type | Text |
Resource Type | Article |
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