1 / 5

Lecture 5: Iris Recognition

Lecture 5: Iris Recognition. Ioannis Pavlidis. COSC 6397. U of H. Genotype and Phenotype. Genotype refers to a genetic constitution, or a group sharing it. blood group and DNA

jena
Download Presentation

Lecture 5: Iris Recognition

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Lecture 5: Iris Recognition Ioannis Pavlidis COSC 6397 U of H

  2. Genotype and Phenotype • Genotype refers to a genetic constitution, or a group sharing it. • blood group and DNA • Phenotype refers to the actual expression of a feature through the interaction of genotype, development, and environment. • face, fingerprint, and iris • Genotypic Error Rate is the minimum False Match Rate (e.g., identical twins). • Phenotypic Error Rate is the minimum False Rejection rate (e.g., facial appearance)

  3. Properties of the Iris • The iris is composed of elastic connective tissue. • It consists of pectinate ligaments adhering into a tangled mesh revealing striations, ciliary processes, crypts, rings, furrows, a corona, sometimes freckles, and vasculature. • Pupillary motion provides a “live ness” test in high security applications.

  4. Localization and Analysis of Iris Patterns • We localize the inner and outer boundaries of the iris. This is accomplished through integro-differential operations. • A normalized coordinate system is defined, which is invariant to size (e.g., camera zoom and distance to the eye). • The iris pattern is encoded into a 256-byte “IrisCode” by demodulating it with 2D Gabor wavelets, which represent the texture by phasors in the complex plane.

  5. Independence and DOF in IrisCodes • It is important to establish that there exists independent variation in iris patterns, across populations and across positions in the iris. • This is confirmed by tracking the possibility of a bit being set. • The fact that the plot is flat at a value of 0.5 means that any given bit in an IrisCode is equally likely to be set or cleared.

More Related