You are in : Home » Results & submissions » Select UOA » 15 - General Engineering » View submission: University of Kent » Outputs » Detail

Output details

15 - General Engineering

University of Kent

Return to search Previous output Next output

Output 15 of 84 in the submission

Article title

An Investigation of Quality Aspects of Noisy Colour Images for Iris Recognition

Type

D - Journal article

DOI

Title of journal

International Journal of Signal Processing, Image Processing and Pattern Recognition

Article number

Volume number

Issue number

First page of article

165

ISSN of journal

2005-4254

Year of publication

2011

URL

Number of additional authors

Additional information

This paper examines the distributions of quality metrics in colour iris images datasets and discusses the potential impact of these variations to recognition accuracy. It introduces new metrics for the iris area affected by point-source reflections, iris diameter and pupillary boundary contrast and examines existing focus, entropy and constriction measures. There are limited published investigations which consider “colour” rather than the more commonly used infrared images. This work provides additional quantitative evidence for the suitability and limitations of colour images for iris-based biometric implementations. Funded by the European Regional Development Fund (Interreg IVA) NOmad Biometric Authentication project (ref. 4051).

Interdisciplinary

Cross-referral requested

Research group

3 - Image and information engineering

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract