IMPLEMENTATION ON ENHANCING IRIS BASED SECURITY SYSTEM USING EDGE DETECTION MECHANISM

Authors

  • Manmeet Singh
  • Deepika

Keywords:

single-core, identification, algorithms, mathematical

Abstract

Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose
complex random patterns are unique, stable, and can be seen from some distance. Not to be confused with other, less prevalent, ocular-based biometric technologies such as retina scanning, iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate
structures of the iris which are visible externally. Digital templates encoded from these patterns by mathematical and statistical algorithms allow the identification of an individual or someone pretending to be that individual. Databases of enrolled templates are searched by matcher engines at speeds measured in the millions of templates per second per (single-core) CPU, and with remarkably low false match rates.

References

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Published

31-03-2016

How to Cite

Manmeet Singh, & Deepika. (2016). IMPLEMENTATION ON ENHANCING IRIS BASED SECURITY SYSTEM USING EDGE DETECTION MECHANISM. International Journal for Research Publication and Seminar, 7(1). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1368

Issue

Vol. 7 No. 1 (2016): Jan - Mar 2016

Section

Original Research Article

License

Copyright (c) 2016 International Journal for Research Publication and Seminar

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