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Design and Implementation of a Vascular Pattern Recognition System

Govindaraajan, Srikkanth
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821169

Abstract Details

2014, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
Biometric technology is playing a vital role in the present day due to the rapid development of secure systems and home automation that have made our lives easier. But the question arises as to how far these systems are secure. With advances in hacking, the traditional username and password security protocol is not optimal for all security based systems. Though fingerprint identification systems provided a path-breaking solution, there are many methods to forge fingerprints. While other technologies like voice recognition, iris recognition, etc., co-exist, the security and safety of these technologies are also open to question. The major objective of this thesis is to provide enhanced security through a biometrics based embedded system using the technique of Vascular Pattern Recognition or Vein Pattern Recognition (VPR). Another objective is to enhance the vascular pattern image through various image processing techniques. Another target is to reduce the Comparison for Result (CFR) time by a significant factor. Finally, the aim is to implement this VPR based embedded system in a real time software environment. For the system we implemented, our experiments achieved a false accept rate of 0% and a false reject rate of 6.34%. Furthermore, it has been demonstrated in our research that the Speeded Up Robust Features (SURF) algorithm is faster than its predecessor algorithm Scale Invariant Feature Transform (SIFT). The principal conclusion of the thesis is that a safe and secure system can be developed on a small scale with precise results. Given the resources, this system could be extended to a larger scale and customized for a wide range of applications.
Carla Purdy, Ph.D. (Committee Chair)
Wen Ben Jone, Ph.D. (Committee Member)
George Purdy, Ph.D. (Committee Member)
83 p.
Computer Engineering
Vascular Pattern Recognition; Vein Pattern Recognition; Image processing techniques; SURF algorithm; OpenCV

Recommended Citations

Citations

  • Govindaraajan, S. (2014). Design and Implementation of a Vascular Pattern Recognition System [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821169

    APA Style (7th edition)

  • Govindaraajan, Srikkanth. Design and Implementation of a Vascular Pattern Recognition System. 2014. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821169.

    MLA Style (8th edition)

  • Govindaraajan, Srikkanth. "Design and Implementation of a Vascular Pattern Recognition System." Master's thesis, University of Cincinnati, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821169

    Chicago Manual of Style (17th edition)

ucin1406821169
1,253
© 2014, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.