Iris Recognition: Inherent Binomial Degrees of Freedom

06/29/2020
by   J. Michael Rozmus, et al.
0

The distinctiveness of the human iris has been measured by first extracting a set of features from the iris, an encoding, and then comparing these encoded feature sets to determine how distinct they are from one another. For example, John Daugman measures the distinctiveness of the human iris at 244 degrees of freedom, that is, Daugman's encoding maps irises into the equivalent of 2 ^ 244 distinct possibilities [2]. This paper shows by direct pixel-by-pixel comparison of high-quality iris images that the inherent number of degrees of freedom embodied in the human iris, independent of any encoding, is at least 536. When the resolution of these images is gradually reduced, the number of degrees of freedom decreases smoothly to 123 for the lowest resolution images tested.

READ FULL TEXT

page 2

page 3

research
05/09/2022

Ultra-log-concavity and discrete degrees of freedom

We develop the notion of discrete degrees of freedom of a log-concave se...
research
02/23/2022

State-of-the-art in speaker recognition

Recent advances in speech technologies have produced new tools that can ...
research
06/16/2020

On parametric tests of relativity with false degrees of freedom

General relativity can be tested by comparing the binary-inspiral signal...
research
01/03/2018

Seeded Ising Model and Statistical Natures of Human Iris Templates

We propose a variant of Ising model, called the Seeded Ising Model, to m...
research
06/20/2019

Effective degrees of freedom for surface finish defect detection and classification

One of the primary concerns of product quality control in the automotive...
research
06/06/2022

Coding of volumetric content with MIV using VVC subpictures

Storage and transport of six degrees of freedom (6DoF) dynamic volumetri...
research
12/14/2017

Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization

To harness the complexity of their high-dimensional bodies during sensor...

Please sign up or login with your details

Forgot password? Click here to reset