Staff Attendance System Based on Fingerprint Recognition

Authors

  • Usha Nandhini B B.E.Computer Science and Engineering, N. S. N. College of Engineering and Technology, Karur, Tamilnadu,India
  • Suganraj L B.E.Computer Science and Engineering, N. S. N. College of Engineering and Technology, Karur, Tamilnadu,India
  • Selvapriya PB Assistent Professor, N. S. N. College of Engineering and Technology, Karur, Tamilnadu,India
  • Gomathi P Dean, N.S. N. College of Engineering and Technology, Karur, Tamilnadu,India

Keywords:

Component, Formatting, Style, Styling

Abstract

Fingerprint matching algorithm is a key issue of the fingerprint acceptance, and there already exist many fingerprint matching algorithms, Give to the dependence of the core point, fingerprint matching algorithms are branched into two groups, core-based contest algorithms and noncore-based contest algorithms. Most of the noncore-based matching algorithm is time consuming; therefore, they are not convenient for online application; meantime, the core-based matching algorithm is efficient than the noncore-based matching algorithm, but it deeply depends on the core detection care. In this paper, we present a new core-based structure matching algorithm which considers both efficient and precision. Firstly we used core disclosure algorithm to get the core space, then we define some local structure of the core field. Used these local structure, we can find some contributor points of the two fingerprint image. Secondly, we adoption the correspondent points in the first stage to match the global feature of the fingerprint. Empirical results show that the performance of the proposed algorithm is good.

References

JunTaoXue, Yini Guo, ShaoFang Xing ZhengGuang Liu, School of Electrical Engineering and Automation, Tianjin University, Tianjin, China, Fingerprint Generation Method Based on Gabor Filter, 201O International Conference on Computer Application and System Modeling (ICCASM 2010).

Quratulain Shafi, Javaria Khan, Nosheen Munir, Naveed KhanBaloch, Computer Engineering Department, University of Engineering and Technology, Taxila, Pakistan, Fingerprint Verification over the Network and its Application in Attendance Management, 2010 International Conference on Electronics and Information Engineering, (ICEIE 2010).

"Guide to Fingerprint Recognition" Digital Persona, Inc. 720Bay Road Redwood City, CA 94063 USA, http:// www.digitalpersona.com

R. Heidn!' "A world history of fingerprint," Chinese People Public Security University Press, (2008), l.ISBN: 978-7-81109-789-4.

Automatic fingerprint Recognition System, by Nalini Kantha Ratha, Rudde Bole, Department of Computer science, Michigan State univercity, East Lansing, MI48824, U.S.A.

Handbook of Fingerprint Recognition by Konda Jayashree,Chapter 1and 2.

Digital Persona, white paper "Guide to Fingerprint Recognition".

Introduction to Biometrics, http://ics1.mk.co.kr/file/cd104/ biometrics1.pdf.

Pankanti, S., Bolle, R.M. and Jain, A., Biometrics: The Future of Identification. IEEE Computer magazine, February(2000).

L. Hong, A.K. Jain,"Classification of Fingerprint Images", MSU Technical Report, MSU Technical Report MSUCPS: TR98-18, June (1998).

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Published

2015-02-28

How to Cite

[1]
B. Usha Nandhini, L. Suganraj, P. Selvapriya, and P. Gomathi, “Staff Attendance System Based on Fingerprint Recognition”, Int. J. Comp. Sci. Eng., vol. 3, no. 2, pp. 28–30, Feb. 2015.

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Section

Research Article