REVIEW ON ENHANCING IRIS BASED SECURITY SYSTEM USING EDGE DETECTION MECHANISM

Authors

  • Diksha Chawla Research Scholar, Department of ECE, IIET
  • Kapil Sachdeva Assistant professor , Department of ECE, IIET

Keywords:

Iris recognition, Biometrics, Edge detection

Abstract

In principle, the processing of personal data involving the use of a biometric system is considered by privacy experts to be only justified in places demanding a high level of security and strict identification procedures. Biometrics is the technology of identifying uniquely human subjects by means of measuring and analyzing one or more intrinsic behavioral or physical traits. These human body characteristics include fingerprints, voice patterns, eye retinas and irises, facial patterns and hand measurements. Biometric systems include applications making use of biometric technologies and which allow the identification automatically, verification or authentication of a natural person. In this research we have discussed Iris Recognition Technology using edge detection mechanism.

References

MIT University media laboratory, USA. [2] Western Carolina university online library, Cullowhee,North Carolina(USA). [3] History behind Eigen faces. [4]D.Pissaarenko“Eigenface-based facial recognition. [5] Delac, k.Grgic,M.Liatsis “Appearance based statistical methods for facial recognition”(Croatia).

A. Marion An Introduction to Image Processing, Chapman and Hall, 1991 [7] Azeema Sultana, Dr. M. Meenakshi, “Design and Development of FPGA based Adaptive Thresholder for Image Processing Applications” ,on line access [8] Gerhard X. Ritter; Joseph N. Wilson, “ Handbook of Computer Vision Algorithms in Image Algebra” CRC Press, CRC Press LLC ISBN:0849326362 Pub Date: 05/01/96

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Published

30-06-2016

How to Cite

Diksha Chawla, & Kapil Sachdeva. (2016). REVIEW ON ENHANCING IRIS BASED SECURITY SYSTEM USING EDGE DETECTION MECHANISM. International Journal for Research Publication and Seminar, 7(3). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/701

Issue

Vol. 7 No. 3 (2016): Apr - Jun 2016

Section

Original Research Article

License

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

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