Skip to main content

Optimal configuration strategies for iris recognition processing

Erbilek, Meryem, da Costa-Abreu, Marjory, Fairhurst, Michael (2012) Optimal configuration strategies for iris recognition processing. In: IET Conference on Image Processing (IPR 2012), 3-4 July 2012, London, UK. (doi:10.1049/cp.2012.0451) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1049/cp.2012.0451

Abstract

Although biometric systems are now widely used in a variety of scenarios, optimising practical systems can still be challenging because this can involve balancing a number of very different factors across a number of processing stages. In iris recognition, a typical processing chain leading from raw data capture to an identity decision requires several clearly identifiable modules, but within this chain it is generally accepted that the segmentation stage and the recognition module are particularly critical in determining overall performance. This paper investigates the extent to which overall performance can be optimised with respect to scenario constraints and requirements by an appropriate balance of processing power allocated between these two most important steps, and how enhanced processing at one step can compensate for less sophistication at another. The work reported thus provides some insight into practical options for system implementation which can take account of constraints in, for example, error rate performance, processing speed, resource allocation, and so on. (6 pages)

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1049/cp.2012.0451
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 01 Nov 2013 12:08 UTC
Last Modified: 29 May 2019 11:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35911 (The current URI for this page, for reference purposes)
  • Depositors only (login required):