Manuscript Number : IJSRST184930

A IRIS Scanner Established Protected Credentials Expending LDA Techniques Created Voting Scheme

Authors(3) :-Y. Preethi, R. Anandha Jothi, Dr. V. Palanisamy

Biometric empathy is used in refuge presentations and validation. The Biometric suggest the numerous parts such as iris, fingerprint, ear and face gratitude. In this project we use the iris appreciation and investigate the besmirched ocular images. IRIS recognition under meticulous data acquisition protocols is a comparatively mature expertise that has been shown to be effective in dissimilar scenarios and in independent technology estimation initiatives. We can combination the iris descriptions to incredulous the besmirched factors. The besmirched factors are known as illumination, light resources, occlusions and blur images. In this project we accomplish the segmentation, edge detection and LDA methods to combination the degraded images. Then our investigational results assurance that proposed work is correctly performed.

Authors and Affiliations

Y. Preethi
Department of Computer Applications, Alagappa University, Karaikudi, TamilNadu, India
R. Anandha Jothi
Department of Computer Applications, Alagappa University, Karaikudi, TamilNadu, India
Dr. V. Palanisamy
Department of Computer Applications, Alagappa University, Karaikudi, TamilNadu, India

IRIS, LDA, Voting Scheme, Biometric Identification, ATM, CCD, UBIRIS

  1. K Bowyer, K. Hollingsworth, and P. Flynn, "Image understanding for iris biometrics: A survey," Comput. Vis. Image Understand., vol. 110, no. 2, pp. 281-307, 2008.
  2. J Cui, Y. Wang, J.Huang, T. Tan, and Z. Sun, "An iris image synthesis method based on PCA and super-resolution," in Proc. 17th Int. Conf. Pattern Recognition, 2004 (ICPR 2004), Aug. 23-26, 2004, vol. 4, pp. 471-474.
  3. J Daugman, "The importance of being random: Statistical principles of iris recognition," Pattern Recognit., vol. 36, pp. 279-291, 2003.
  4. J Daugman, "How iris recognition works," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 21-30, Jan. 2004.
  5. MDobes and L.Machala, UPOL Iris Image Database, PalackyUniversity in Olomouc, 2004 [Online]. Available: http://phoenix.inf.upol.cz/ iris/
  6. C Donner and H. Jensen, "Light diffusion in multi-layered translucent materials," ACM Trans. Graphics, vol. 24, no. 3, pp. 1032-1039, 2005.
  7. Z He, T. Tan, Z. Sun, and X. Qiu, "Towards accurate and fast iris segmentation for iris biometrics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1670-1684, Sep. 2008.
  8. "CASIA Iris Image Database" Institute of Automation, Chinese Academy of Sciences, 2004 [Online]. Available: http://www.sinobiometrics. com
  9. A K. Jain, A. Ross, and S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 4-20, Jan. 2004.
  10. A. Lefohn, B. Budge, P. Shirley, R. Caruso, and E. Reinhard, "An ocularist's approach to human iris synthesis," Computer Graphics Applicat., vol. 23, no. 6, pp. 70-75, 2003.
  11. T. Lottes, FXAA Fast Approximate Anti-Aliasing, NVIDIA Corporation, FXAA White Paper, Feb. 2010.
  12. MMU Iris Image Database, Multimedia University, 2004 [Online]. Available: http://pesona.mmu.edu.my/ccteo
  13. Iris Challenge Evaluation, National Institute of Standards and Technology, 2006 [Online]. Available: http://iris.nist.gov/ICE/

U. Park, A. Ross, and A. K. Jain, "Periocular biometrics in the visible spectrum: A feasibility study," in Proc. IEEE Int. Conf. Biometrics: Theory, Applications, and Systems, 2009, pp. 1-6.

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 243-246
Manuscript Number : IJSRST184930
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Y. Preethi, R. Anandha Jothi, Dr. V. Palanisamy, " A IRIS Scanner Established Protected Credentials Expending LDA Techniques Created Voting Scheme", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 9, pp.243-246, July-August-2018.
Journal URL : https://ijsrst.com/IJSRST184930
Citation Detection and Elimination     |      | |
  • J Cui, Y. Wang, J.Huang, T. Tan, and Z. Sun, "An iris image synthesis method based on PCA and super-resolution," in Proc. 17th Int. Conf. Pattern Recognition, 2004 (ICPR 2004), Aug. 23-26, 2004, vol. 4, pp. 471-474.
  • J Daugman, "The importance of being random: Statistical principles of iris recognition," Pattern Recognit., vol. 36, pp. 279-291, 2003.
  • J Daugman, "How iris recognition works," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 21-30, Jan. 2004.
  • MDobes and L.Machala, UPOL Iris Image Database, PalackyUniversity in Olomouc, 2004 [Online]. Available: http://phoenix.inf.upol.cz/ iris/
  • C Donner and H. Jensen, "Light diffusion in multi-layered translucent materials," ACM Trans. Graphics, vol. 24, no. 3, pp. 1032-1039, 2005.
  • Z He, T. Tan, Z. Sun, and X. Qiu, "Towards accurate and fast iris segmentation for iris biometrics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1670-1684, Sep. 2008.
  • "CASIA Iris Image Database" Institute of Automation, Chinese Academy of Sciences, 2004 [Online]. Available: http://www.sinobiometrics. com
  • A K. Jain, A. Ross, and S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 4-20, Jan. 2004.
  • A. Lefohn, B. Budge, P. Shirley, R. Caruso, and E. Reinhard, "An ocularist's approach to human iris synthesis," Computer Graphics Applicat., vol. 23, no. 6, pp. 70-75, 2003.
  • T. Lottes, FXAA Fast Approximate Anti-Aliasing, NVIDIA Corporation, FXAA White Paper, Feb. 2010.
  • MMU Iris Image Database, Multimedia University, 2004 [Online]. Available: http://pesona.mmu.edu.my/ccteo
  • Iris Challenge Evaluation, National Institute of Standards and Technology, 2006 [Online]. Available: http://iris.nist.gov/ICE/

    • U. Park, A. Ross, and A. K. Jain, "Periocular biometrics in the visible spectrum: A feasibility study," in Proc. IEEE Int. Conf. Biometrics: Theory, Applications, and Systems, 2009, pp. 1-6.

    " target="_blank"> BibTeX     |
  • J Cui, Y. Wang, J.Huang, T. Tan, and Z. Sun, "An iris image synthesis method based on PCA and super-resolution," in Proc. 17th Int. Conf. Pattern Recognition, 2004 (ICPR 2004), Aug. 23-26, 2004, vol. 4, pp. 471-474.
  • J Daugman, "The importance of being random: Statistical principles of iris recognition," Pattern Recognit., vol. 36, pp. 279-291, 2003.
  • J Daugman, "How iris recognition works," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 21-30, Jan. 2004.
  • MDobes and L.Machala, UPOL Iris Image Database, PalackyUniversity in Olomouc, 2004 [Online]. Available: http://phoenix.inf.upol.cz/ iris/
  • C Donner and H. Jensen, "Light diffusion in multi-layered translucent materials," ACM Trans. Graphics, vol. 24, no. 3, pp. 1032-1039, 2005.
  • Z He, T. Tan, Z. Sun, and X. Qiu, "Towards accurate and fast iris segmentation for iris biometrics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1670-1684, Sep. 2008.
  • "CASIA Iris Image Database" Institute of Automation, Chinese Academy of Sciences, 2004 [Online]. Available: http://www.sinobiometrics. com
  • A K. Jain, A. Ross, and S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 4-20, Jan. 2004.
  • A. Lefohn, B. Budge, P. Shirley, R. Caruso, and E. Reinhard, "An ocularist's approach to human iris synthesis," Computer Graphics Applicat., vol. 23, no. 6, pp. 70-75, 2003.
  • T. Lottes, FXAA Fast Approximate Anti-Aliasing, NVIDIA Corporation, FXAA White Paper, Feb. 2010.
  • MMU Iris Image Database, Multimedia University, 2004 [Online]. Available: http://pesona.mmu.edu.my/ccteo
  • Iris Challenge Evaluation, National Institute of Standards and Technology, 2006 [Online]. Available: http://iris.nist.gov/ICE/

    • U. Park, A. Ross, and A. K. Jain, "Periocular biometrics in the visible spectrum: A feasibility study," in Proc. IEEE Int. Conf. Biometrics: Theory, Applications, and Systems, 2009, pp. 1-6.

    " target="_blank">RIS     |
  • J Cui, Y. Wang, J.Huang, T. Tan, and Z. Sun, "An iris image synthesis method based on PCA and super-resolution," in Proc. 17th Int. Conf. Pattern Recognition, 2004 (ICPR 2004), Aug. 23-26, 2004, vol. 4, pp. 471-474.
  • J Daugman, "The importance of being random: Statistical principles of iris recognition," Pattern Recognit., vol. 36, pp. 279-291, 2003.
  • J Daugman, "How iris recognition works," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 21-30, Jan. 2004.
  • MDobes and L.Machala, UPOL Iris Image Database, PalackyUniversity in Olomouc, 2004 [Online]. Available: http://phoenix.inf.upol.cz/ iris/
  • C Donner and H. Jensen, "Light diffusion in multi-layered translucent materials," ACM Trans. Graphics, vol. 24, no. 3, pp. 1032-1039, 2005.
  • Z He, T. Tan, Z. Sun, and X. Qiu, "Towards accurate and fast iris segmentation for iris biometrics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1670-1684, Sep. 2008.
  • "CASIA Iris Image Database" Institute of Automation, Chinese Academy of Sciences, 2004 [Online]. Available: http://www.sinobiometrics. com
  • A K. Jain, A. Ross, and S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 4-20, Jan. 2004.
  • A. Lefohn, B. Budge, P. Shirley, R. Caruso, and E. Reinhard, "An ocularist's approach to human iris synthesis," Computer Graphics Applicat., vol. 23, no. 6, pp. 70-75, 2003.
  • T. Lottes, FXAA Fast Approximate Anti-Aliasing, NVIDIA Corporation, FXAA White Paper, Feb. 2010.
  • MMU Iris Image Database, Multimedia University, 2004 [Online]. Available: http://pesona.mmu.edu.my/ccteo
  • Iris Challenge Evaluation, National Institute of Standards and Technology, 2006 [Online]. Available: http://iris.nist.gov/ICE/

    • U. Park, A. Ross, and A. K. Jain, "Periocular biometrics in the visible spectrum: A feasibility study," in Proc. IEEE Int. Conf. Biometrics: Theory, Applications, and Systems, 2009, pp. 1-6.

    " target="_blank">CSV

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