New PDF release: Advances in Security Technology: International Conference,

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

ISBN-10: 3642102395

ISBN-13: 9783642102394

ISBN-10: 3642102409

ISBN-13: 9783642102400

This quantity constitutes the chosen and prolonged papers of the foreign convention on Advances in safety know-how, SecTech 2008, and Its exact classes, held in Sanya, Hainan Island, China in December 2008.

The e-book comprises the specified classes on complicated protection applied sciences in the direction of convergence and eco-friendly IT (AST-CGIT 2008), on biometrics: defense and privateness (BSP 2008), on safety schooling (ASSSE 2008), on defense engineering surroundings (SEE 2008), instant networks (WN 2008).

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Read or Download Advances in Security Technology: International Conference, SecTech 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers PDF

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

Example text

It is known that when a qubit of an entangled pair travels in imperfect quantum channel, the initial entanglement might be lost. Hence, a security problem for this scheme implementing in imperfect quantum channel seems arise. Fortunately, it has been proven that Alice and Bob can reliably share an entangled pair over any long distance by using quantum repeater techniques [28], containing the entanglement purification and teleportation. Once Alice and Bob have shared a two-qubit entangled state, Eve can be detected by the communicators using the techniques of BM.

Extensive experimental results demonstrate that the cascaded classifiers significantly improve the system’s accuracy with negligible extra computational cost. Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi, Hiroshi Nakajima developed [6] phase-based image matching algorithm. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition in a unified fashion with a simple matching algorithm. Pan Lili and Xie Mei, proposed [7] a new iris localization algorithm, in which they adopted edge points detecting and curve fitting.

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. 2, pp. II-49–52 (2005) 7. : The Algorithm of Iris Image Preprocessing. In: Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID 2005), October 17-18, pp. 134–138 (2005) 8. : Iris Image Denoising Algorithm Based on Phase Preserving.

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Advances in Security Technology: International Conference, SecTech 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers by Wen-Chung Kuo (auth.), Haeng-kon Kim, Tai-hoon Kim, Akingbehin Kiumi (eds.)


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