REVIEW PAPER ON WORKING OF IRIS BASED BIOMETRIC DEVICE

Authors

  • Vaishali Bhatia Research Scholar, Department of Cse, Om Institute Of Technology And Management
  • Dr. Anuj Sharma Department of Cse, Om Institute Of Technology And Management

Keywords:

Iris Recognition, Retinal Scan, Finger Print, Biometric Devices

Abstract

Biometrics is technology of identifying uniquely human subjects by means of measuring & analyzing more than one intrinsic behavioral / physical traits. Such human body characteristics consisting fingerprints, eye retinas voice patterns & irises, facial patterns & hand measurements. Biometric systems consist of applications making use of biometric technologies & that allow identification automatically, verification / authentication of a natural person. In principle, processing of personal data involving use of a biometric system is considered by privacy experts to be only justified within places demanding a high level of security & strict identification procedures. The iris-scan process begins with a photograph. A specialized camera, typically very close to subject, not more than three feet, uses an infrared image(picture) to illuminate eye & capture a very high-resolution photograph. This process takes 1 to 2 seconds.

References

A. K. Jain, A. Ross, & S. Pankanti, "Biometrics: A Tool for Information Security", IEEE Transactions on Information Forensics & Security, Vol. 1, No. 2, 2006, pp. 125-143.

J. Daugman, "New Methods within Iris Recognition", IEEE Trans. on Systems, Man, & Cybernetics, Vol. 37, No. 5, 2007, pp. 1167-1175.

R. Wildes, "Iris Recognition: an Emerging Biometric Technology", Proceedings of IEEE, Vol. 85, No. 9, 1997, pp. 1348-1363.

W. Boles, & B. Boashash, "A Human Identification Technique Using Images(pictures) of Iris & Wavelet Transform", IEEE Trans. on Signal Processing, Vol. 46, No.4, 1998, pp. 1185-1188.

W. Kong, & D. Zhang, "Accurate Iris Segmentation Based on Novel Reflection & Eyelash Detection Model", within International Symposium on Intelligent Multimedia, Video & Speech Processing, 2001, pp. 263-266.

L. Ma, & T. Tisse, "Personal Recognition Based on Iris Texture Analysis", IEEE Trans. on PAMI, Vol. 25, No. 12,2003, pp. 1519-1533. [7] N. Schmid, M. Ketkar, H. Singh, & B. Cukic, "Performance Analysis of Iris Based Identification System Matching Scores Level", IEEE Transactions on Information Forensics & Security, Vol. 1, No. 2, 2006, pp. 154-168.

V. Dorairaj, A. Schmid, & G. Fahmy, "Performance Evaluation of Iris Based Recognition System Implementing PCA & ICA Encoding Techniques", within Proceedings of SPIE, 2005, pp. 51-58.

C. Fancourt, L. Bogoni, K. Hanna, Y. Guo, & R. Wildes, & N. Takahashi, & U. Jain, "Iris Recognition at a Distance", within Proceedings of International Conference on Audio & Video-Based Biometric Person Authentication, 2005, pp. 1-13.

"CASIA Iris Image Database", Chinese Academy of Sciences Institute of Automation. http://www.sinobiometrics.com

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Published

30-06-2016

How to Cite

Vaishali Bhatia, & Dr. Anuj Sharma. (2016). REVIEW PAPER ON WORKING OF IRIS BASED BIOMETRIC DEVICE. International Journal for Research Publication and Seminar, 7(3). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/812

Issue

Vol. 7 No. 3 (2016): April - June 2016

Section

Original Research Article

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

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