Advances in Security Technology: International Conference, by Wen-Chung Kuo (auth.), Haeng-kon Kim, Tai-hoon Kim,

By Wen-Chung Kuo (auth.), Haeng-kon Kim, Tai-hoon Kim, Akingbehin Kiumi (eds.)

This quantity constitutes the chosen and prolonged papers of the overseas convention on Advances in safety expertise, SecTech 2008, and Its specified periods, held in Sanya, Hainan Island, China in December 2008.

The publication contains the certain classes on complex safeguard applied sciences in the direction of convergence and eco-friendly IT (AST-CGIT 2008), on biometrics: safeguard and privateness (BSP 2008), on safeguard schooling (ASSSE 2008), on safeguard engineering atmosphere (SEE 2008), instant networks (WN 2008).

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Additional resources for Advances in Security Technology: International Conference, SecTech 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers

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Zhenan Sun, Yunhong Wang, Tieniu Tan, and Jiali Cui, in 2005, proposed [5] to overcome the limitations of local feature based classifiers (LFC). In addition, in order to recognize various iris images efficiently a novel cascading scheme is proposed to combine the LFC and an iris blob matcher. When the LFC is uncertain of its decision, poor quality iris images are usually involved in intra-class comparison. Then the iris blob matcher is resorted to determine the input iris identity because it is capable of recognizing noisy images.

The decoy photons are produced by choosing randomly one of the two bases Z and X, and are inserted into the traveling sequence randomly. Suppose Eve can take the intercept-and-resend attack. To acquire the secret message, in step 3 when the DA-sequence (DB-sequence) is sent to Bob (Alice), Eve would capture the DA-sequence (DB-sequence) and replace them with her own particles prepared in advance.

Invariant biometric code extraction. In: IEEE Intelligent Signal Processing and Communication Systems (ISPACS 2004), Seoul, Korea, November 18-19, pp. 181–184 (2004) 5. : Improving iris recognition accuracy via cascaded classifiers. IEEE Transactions on Systems, MAN, and CYBERNETICS - Part C: Applications and Reviews 35(3), 435–441 (2005) 6. : An Efficient Iris Recognition Algorithm Using Phase-Based Image Matching. In: IEEE Image Processing Conference, 2005 (ICIP 2005), Genoa, Italy, September 11-14, vol.

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