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  • Rajesh M. Bodade
  • Sanjay N. Talbar
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

Compressive literature survey has been carried out and essence of it has been presented in this chapter. It reveals that in 1987, Flom and Safir proposed the first conceptual but unimplemented automated model of Iris recognition system. In 1992, Johnson analyzed Iris images and confirmed its high stability over a period of 15 years. Based on Flom and Safir model, Daugman in 1993 and Wildes in 1997 had proposed two complementary approaches of Iris recognition system and most of the research in this field is motivated and based on either of the two approaches. Related work carried out in iris segmentation, iris analysis, and feature extraction in last two decades has been presented and analyzed in this chapter. Either of the approaches, namely binary representation of Iris or real valued feature vector of Iris, has been explored very extensively by many researchers, mainly, either by using variants of Gabor filters or by using DWT for multi-resolution representation of Iris. Various iris image databases used by various research groups are also studied, and it is observed that CASIA database, which is less realistic has been explored more than realistic databases such as UBIRIS, UPOL.

Keywords

Iris analysis and feature extraction Daugman’s approach Wildes’ approach Flom and safir model Gabor filters Laplacian of Gaussian (LOG) filter Iris code 

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Faculty of Communication EngineeringMilitary College of Telecommunication EngineeringMhowIndia
  2. 2.Dept of Electronics and Telecommunication EnggSGGS Institute of Engineering and TechnologyNandedIndia

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