This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
September 2007 (vol. 8 no. 9)
pp. 1
Anlong Ming, Beijing University of Posts and Telecommunications
Huadong Ma, Beijing University of Posts and Telecommunications
The biometrics grid can simplify resource management and access by making biometrics data as easy to access as Web pages via a Web browser. It tests user-designed modules, which are wrapped to Web services and deployed into a Web services container. Risk-resilient strategies are used for job scheduling. A case study of two biometrics recognition processes in voiceprint and face illustrates the process. The biometrics grid could benefit academic collaborations and improve biometric data sharing, as well as enhance biometric systems' efficiency in scientific research and commercial applications.

1. D. Dessimoz etal., Multimodal Biometrics for Identity Documents , v. 2.0, research report PFS 341-08.05, Univ. of Lausanne and Swiss Federal Inst. of Technology Lausanne, 2006; http://www.europeanbiometrics.info/images/ resources90_264_file.pdf
2. I. Foster, "The Grid: A New Infrastructure for 21st Century Science," Physics Today, vol. 55, no. 2, 2002, pp. 42—47.
3. S. Prabhakar, S. Pankanti, and A.K. Jain, http://doi.ieeecomputersociety.org/10.1109 MSECP.2003.1193209 , "Biometric Recognition: Security and Privacy Concerns," IEEE Security and Privacy, vol. 1, no. 2, 2003, pp. 33—42.
4. R. Norton, "The Evolving Biometric Marketplace to 2006," Biometric Technology Today, vol. 10, no. 9, 2002, pp. 7—8.
5. S. Shan, "Study on Some Key Issues in Face Recognition," doctoral thesis, Inst. of Computing Technology, Chinese Academy of Sciences, 2004.
6. N.R. Veeraragahavan and N. Kumar, "A Case for Grid Computing in Insurance," Grid Today, Feb. 2006; http://www.gridtoday.com/grid552538.html .
7. M. Haynos, "Perspectives on Grid: Grid Computing—Next-Generation Distributed Computing," IBM developerWorks, Jan. 2004; http://www.ibm.com/developerworks/grid/library gr-heritage.
8. S. Song, K. Hwang, and Y. Kwok http://doi.ieeecomputersociety.org/10.1109 TC.2006.89 , "Risk-Resilient Heuristics and Genetic Algorithms for Security-Assured Grid Job Scheduling," IEEE Trans. Computers, vol. 55, no. 6, 2006, pp. 703—719.
9. A.L. Pereira, V. Muppavarapu, and S.M. Chung http://doi.ieeecomputersociety.org/10.1109 TDSC.2006.26 "Role-Based Access Control for Grid Database Services Using the Community Authorization Service" , IEEE Trans. Dependable and Secure Computing, vol. 3, no. 2, 2006, pp. 156—166.
10. F.Z. Wang etal.,http://doi.ieeecomputersociety.org/10.1109 TC.2007.1005 "Grid-Oriented Storage: A Single-Image, Cross-Domain, High-Bandwidth Architecture," IEEE Trans. Computers, vol. 56, no. 4, 2007, pp. 474—487.
11. A.J. Mansfield and J.L. Wayman, Best Practices in Testing and Reporting Performance of Biometric Devices, v. 2.0.1, NPL report CMSC 14/02, Center for Mathematics and Scientific Computing, UK National Physical Laboratory, 2002; http://www.npl.co.uk/scientific_software/ publications/biometricsbestprac_v2_1.pdf .
12. A. Ross, A. Jain, and J.-Z. Qian, "Information Fusion in Biometrics," Pattern Recognition Letters, vol. 24, no. 13, 2003, pp. 2115—2125.
13. Y. Zuev and S. Ivanon, "The Voting as a Way to Increase the Decision Reliability," J. Franklin Inst., vol. 336, no. 2, 1999, pp. 361—378.
14. R. Cappelli, D. Maio, and D. Maltoni, "Combining Fingerprint Classifiers," Proc. 1st Int'l Workshop Multiple Classifier Systems, LNCS 1857, Springer, 2000, pp. 351—361.
15. A.K. Jain, S. Prabhakar, and S. Chen, "Combining Multiple Matchers for a High Security Fingerprint Verification System," Pattern Recognition Letters, vol. 20, nos. 11—13, 1999, pp. 1371—1379.
16. J. Kittler etal.,http://doi.ieeecomputersociety.org/10.1109 34.667881 "On Combining Classifiers," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 3, 1998, pp. 226—239.
17. E. Bigun etal., "Expert Conciliation for Multi-modal Person Authentication Systems Using Bayesian Statistics," Proc. 1st Int'l Conf. Audio- and Video-Based Biometric Person Authentication (AVBPA 97), LNCS 1206, Springer, 1997, pp. 291—300.
18. S. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoraz, "Fusion of Face and Speech Data for Person Identity Verification," IEEE Trans. Neural Networks, vol. 10, no. 5, 1999, pp. 1065—1074.
19. R. Brunelli and D. Falavigna http://doi.ieeecomputersociety.org/10.1109 34.464560 "Person Identification Using Multiple Cues," , IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 10, 1995, pp. 955—966.
20. A.K. Jain, A. Ross, and S. Prabhakar, "An Introduction to Biometric Recognition," IEEE Trans. Circuits and Systems for Video Technology, vol. 14, no. 1, 2004, pp. 4—20.
21. D.A. Menascé http://doi.ieeecomputersociety.org/10.1109 MIC.2005.8 "Allocating Applications in Distributed Computing," IEEE Internet Computing, vol. 9, no. 1, 2005, pp. 90—92.
22. D.A. Menascé, V.A.F. Almeida,, and L.W. Dowdy, Performance by Design: Computer Capacity Planning by Example, Prentice Hall, 2004.
23. Y. Liu, "Research on Identity Verification System Based on Voiceprint and Semanteme," master's dissertation, Inst. of Automation, Chinese Academy of Sciences, 2002.
24. O. de Vel and S. Aeberhard http://doi.ieeecomputersociety.org/10.1109 34.799912 "Line-Based Face Recognition under Varying Pose," , IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 10, 1999, pp. 1081—1088.
25. A. Ming and H. Ma, "An Improved Approach to the Line-Based Face Recognition," 2006 IEEE Int'l Conf. Multimedia and Exposition (ICME 06), IEEE Press, 2006, pp. 1553—1556.
26. W.Y. Zhao et al., "Face Recognition: A Literature Survey," ACM Computing Surveys, vol. 35, no. 4, 2003, pp. 399—458.
1. I. Foster, "SOS in Japan," 2006; http://ianfoster.typepad.com/blog/2006/09 sos_in_japan.html.
2. B. Jones, "An Overview of the EGEE Project," DELOS Workshop: Digital Library Architectures, LNCS 3664, C. Turker, M. Agosti, and H.J. Schek, eds., Springer, 2005, pp. 1—8.
3. P. Eerola et al., "Atlas Data Challenge 1 on NorduGrid," Proc. 2003 Conf. Computing in High Energy and Nuclear Physics (CHEP 03), 2003; http://www.slac.stanford.edu/econf/C0303241/ proc/papersMOCT011.PDF

Index Terms:
biometric technologies, grid computing, face recognition
Citation:
Anlong Ming, Huadong Ma, "The Biometrics Grid: A Solution to Biometric Technologies," IEEE Distributed Systems Online, vol. 8, no. 9, pp. 1, Sept. 2007, doi:10.1109/MDSO.2007.55
Usage of this product signifies your acceptance of the Terms of Use.