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The Possibilities of Establishing an Innovative Approach with Biometrics Using the Brain Signals and Iris Features

Author Affiliations

  • 1Sree Saraswathi Thyagaraja College, Pollachi, INDIA

Res. J. Recent Sci., Volume 3, Issue (3), Pages 60-64, March,2 (2014)

Abstract

In our daily life verify our identities or to decide who somebody is extremely essential. Reliable identification makes life go more smoothly. Automated authentication makes the human recognition achievable. Brain wave signals based biometry is a rising research focus and that it may open novel research directions and applications in the future. The strengths and challenges of electroencephalography (EEG) based biometric system and the mixing of the offered iris modality are described in this paper and the possibilities of deploying powerful multi-modality for real-time biometric systems is proposed.

References

  1. The Master Illusionist A Neurological Theory of Psychology By Federico Sanchez (2010)
  2. www.tedmontgomery.com/the_eye/optcnrve.html (2013)
  3. http://www.merckmanuals.com/home/eye_disorders/biology_of_the_eyes/structure_and_function_of_the_eyes.html (2013)
  4. John D., Woodward Jr, Nicholas M. Orlans, Peter T. Higgings, Identity assurance in the information age biometrics, McGraw Hill (2002)
  5. Kara Rogers, The human body: The eye the physiology of human perception, Britannica Educational Publishing and association with Rosen educational services (2010)
  6. Light and eyes and vision, Physics of the human body biological and medical physics, biomedical engineering, 629-711, Springer, (2007)
  7. Juris Klonovs, Christoffer Kjeldgaard Petersen, Henning Olesen, and Allan Hammershoj, ID Proof on the Go-Development of a Mobile EEG based Biometric Authentication System, IEEE Vehicular Technology Magazine, March (2012)
  8. http://en.wikipedia.org/wiki/Iridology (2013)
  9. http://micro.magnet.fsu.edu/primer/lightandcolor/humanvisionintro.html (2013)
  10. http://www.uniteforsight.org/course/eyeanatomy.php (2013)
  11. http://virtualgardneranatphys.wikispaces.com/Sight (2013)
  12. http://www.glaucoma.org/glaucoma/anatomy-of-the-eye.php (2013)
  13. Sabarigiri B. and Karthikeyan T., Countermeasures against IRIS spoofing and liveness detection using electroencephalogram (EEG), IEEE International Conference on Computing Communication and Applications, (2012)
  14. Juris Konovs, Christoffer Kjeldgaard Petersen, Development of a Mobile EEG-Based Feature Extraction and Classification System for Biometric Authentication, (2012)
  15. Sabarigiri B., Suganyadevi D., Countermeasures against iris direct attacks using fake images and liveness detection based on electroencephalogram (EEG), ICDMSCT, (2014)