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The major objective in developing a robust digital watermarking algorithm is to obtain the highest possible robustness without losing the visual imperceptibility. To achieve this objective, we proposed in this paper an optimal image watermarking scheme using multi-objective particle swarm optimization (MOPSO) and singular value decomposition (SVD) in wavelet domain. Having decomposed the original...
The major objective in developing a robust digital watermarking algorithm is to obtain the highest possible robustness without losing the visual imperceptibility. To achieve this objective, we proposed in this paper an optimal image watermarking scheme using multi-objective particle swarm optimization (MOPSO) and singular value decomposition (SVD) in wavelet domain. Having decomposed the original...
Due to the randomness of iris patterns, iris recognition systems are the most accurate, reliable and efficient way to recognize and identify people. However, the complex structure of an iris image results in the difficulty of iris representation especially for iris images of insufficient quality. In this paper we propose a new active contours models applied to segment iris images based on active contours...
Iris recognition is a novel technology in the field of biometric feature recognition and has many advantages over other techniques. Iris recognition means to recognize personal identity based on the iris of the person. Compared with other biometric feature recognition methods, this technique is accurate and reliable against artifacts. In this paper we propose a new iris recognition system. The idea...
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