期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2013
卷号：2
期号：3
页码：123-129
出版社：IJCSN publisher
摘要：This paper presents multi-modal biometric watermarkingtechniques for personal identification system based on DCT andPhase Congruency model. The proposal made here is animproved algorithm for embedding biometrics data (such asfingerprint image with demographic information of person) in theface image of the same individual for authentication andrecognition which can be employed in E-passport and Eidentificationcards. Phase congruency model is used to computeembedding locations having the low frequency on DCTcoefficients of face image and Normalization correlation basedon both human perceptivity and robust property is used forembedding watermark in these locations. This enhances Quality,Recognition accuracy and Robustness of both cover andwatermark image with minimum computational complexity.Experimental results demonstrate that the proposed watermarktechnique is better robust or resilient against different type ofimage processing attacks
关键词：Authentication; Discrete Cosine Transform;Multimodal Biometrics; Phase Congruency Model
