A lightweight fingerprint recognition mechanism of user identification in real-name social networks

  • Haibin Cai
  • , Zishan Qin
  • , Yunyun Su
  • , Junnan Tu
  • , Linhua Jiang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 19th International Conference, MMM 2013, Proceedings
Pages217-227
Number of pages11
EditionPART 2
DOIs
StatePublished - 2013
Event19th International Conference on Advances in Multimedia Modeling, MMM 2013 - Huangshan, China
Duration: 7 Jan 20139 Jan 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7733 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Advances in Multimedia Modeling, MMM 2013
Country/TerritoryChina
CityHuangshan
Period7/01/139/01/13

Keywords

  • Fingerprint recognition
  • Security
  • Social networks
  • User identification

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