2013 | OriginalPaper | Buchkapitel
A Lightweight Fingerprint Recognition Mechanism of User Identification in Real-Name Social Networks
verfasst von : Haibin Cai, Zishan Qin, Yunyun Su, Junnan Tu, Linhua Jiang
Erschienen in: Advances in Multimedia Modeling
Verlag: Springer Berlin Heidelberg
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Today, the popularity of social networks poses a great threat to user’s information, thus the work of security and privacy protection is becoming increasingly important and urgent. This paper aims to explore the problem of user identification based on biometrics methods in security and privacy issues for social networks sites. In this paper, we propose a lightweight fingerprint recognition mechanism of user identification in real-name social networks. We describe the architecture by using block diagram of our proposed lightweight fingerprint recognition system, and explain how the important steps of proposed mechanism such as minutiae detection, lightweight operation and minutiae matching are implemented. We have performed the experiments to evaluate the user identification reliability of the proposed mechanism. The results of the experiments show that the performance of our lightweight fingerprint recognition system is realistic.