NCJ Number
305399
Journal
Signal Processing Volume: 90 Issue: 4 Dated: April 2010 Pages: 1176-1187
Date Published
2010
Length
12 pages
Annotation
This paper proposes a feature correlation evaluation approach for iris image quality measure, which can discriminate the artificial patterns from the natural iris patterns and can also measure iris image quality for uncompressed images.
Abstract
It is challenging to develop an iris image quality measure to determine compressed iris image quality. The compression process introduces new artificial patterns while suppressing existing iris patterns. The experimental results of the current study show that the proposed method could objectively perform quality measure on both non-compressed and compressed images. (Publisher abstract provided)
Date Published: January 1, 2010
Downloads
Similar Publications
- Principles of Fluorogenic Reagent Design for Forensics. Recent Progress Towards New Reagents to Develop Fingerprints in Blood and on Variable Surfaces
- Certification of Standard Reference Material 2323: Step Height Standard for Areal Surface Topography Measurement
- Changing Course: Preventing Gang Membership, Chapter 11. Program Evaluation: How Do We Know If We Are Preventing Gang Membership? (From Changing Course: Preventing Gang Membership, P 151-161, 2013, Thomas R. Simon, Nancy M. Ritter, and Reshma R. Mahendra,