Bimodal Eye Imaging System for Biometric and Medical Applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116983" target="_blank" >RIV/00216305:26230/15:PU116983 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Bimodal Eye Imaging System for Biometric and Medical Applications

Original language description

The proposed contribution presents a new bimodal imaging system for simultaneous acquisition of the human iris and retina. The system is intended to use in high security applications for biometric human recognition (high-secured access) as well as in medical applications for possible use in ophthalmology. Biometric identification systems have become a common part of security applications. Iris or retina recognition is not a new idea, but if we consider these two as a multimodal system, it gives us a totally different view to the security and reliability of a respective biometric system. Common biometric systems in real-world applications are usually unimodal and thus can handle only one single biometric source of information (i.e. biometric characteristic) - usually a pattern of the human eye iris. Due to the fine and unique texture of iris, the probability of having the same iris texture is around 1 in 1078 [1], which ensures sufficient coverage of population. However, the fact the iris is located visibly on anterior segment of the eye and thus it is possible to take an iris photo from a distance of some meters, the risk of the iris pattern will be copied and subsequently counterfeited is relatively high. On the other side, the retina recognition is not currently used in practice at all. This is caused by several factors, e.g. complicated optical system, price, and low user-friendliness. Retinal recognition has clear advantages in uniqueness, number of features compared to other biometrics, and also that it is the only place in the human body with the possibility to observe the blood vessels non-invasively [2]. Hence, the retinal images can be utilized not only for biometrics, but also for medical purposes as a source of information for diagnosis, e.g. of various cardiovascular diseases, glaucoma, macular degeneration, diabetic retinopathy, and other disease that can be detected from retinal images. Unimodal biometric systems are generally

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Security and Protection of Information 2015

ISBN

978-80-7231-997-8

ISSN

—

e-ISSN

—

Number of pages

13

Pages from-to

83-95

Publisher name

Brno University of Defence

Place of publication

Brno

Event location

Brno

Event date

May 20, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—