title: Combining digital watermarking and fingerprinting techniques to identify copyrights for color images.
abstract: This paper presents a copyright identification scheme for color images that takes advantage of the complementary nature of watermarking and fingerprinting. It utilizes an authentication logo and the extracted features of the host image to generate a fingerprint, which is then stored in a database and also embedded in the host image to produce a watermarked image. When a dispute over the copyright of a suspect image occurs, the image is first processed by watermarking. If the watermark can be retrieved from the suspect image, the copyright can then be confirmed; otherwise, the watermark then serves as the fingerprint and is processed by fingerprinting. If a match in the fingerprint database is found, then the suspect image will be considered a duplicated one. Because the proposed scheme utilizes both watermarking and fingerprinting, it is more robust than those that only adopt watermarking, and it can also obtain the preliminary result more quickly than those that only utilize fingerprinting. The experimental results show that when the watermarked image suffers slight attacks, watermarking alone is enough to identify the copyright. The results also show that when the watermarked image suffers heavy attacks that render watermarking incompetent, fingerprinting can successfully identify the copyright, hence demonstrating the effectiveness of the proposed scheme.
authors.affiliation: Department of Computer Science and Engineering, Tatung University, Taipei 10452, Taiwan.
authors.forename: Shang-Lin
authors.initials: SL
authors.lastname: Hsieh
authors.affiliation: Department of Computer Science and Engineering, Tatung University, Taipei 10452, Taiwan ; Taipei College of Maritime Technology, New Taipei 25172, Taiwan.
authors.forename: Chun-Che
authors.initials: CC
authors.lastname: Chen
authors.affiliation: Department of Computer Science and Engineering, Tatung University, Taipei 10452, Taiwan.
authors.forename: Wen-Shan
authors.initials: WS
authors.lastname: Shen
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003309:Copyright; D008962:Models, Theoretical