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TSMC
2008
222views more  TSMC 2008»
13 years 2 months ago
Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing
Abstract--This paper proposes algorithms for iris segmentation, quality enhancement, match score fusion, and indexing to improve both the accuracy and the speed of iris recognition...
Mayank Vatsa, Richa Singh, Afzel Noore
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
13 years 9 months ago
Image Averaging for Improved Iris Recognition
We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of an iris video, we create a single a...
Karen Hollingsworth, Kevin W. Bowyer, Patrick J. F...
ICPR
2006
IEEE
14 years 3 months ago
Quality-based Score Level Fusion in Multibiometric Systems
The quality of biometric samples has a significant impact on the accuracy of a matcher. Poor quality biometric samples often lead to incorrect matching results because the feature...
Anil K. Jain, Karthik Nandakumar, Sarat C. Dass, Y...
PR
2010
126views more  PR 2010»
13 years 25 days ago
Discriminability and reliability indexes: Two new measures to enhance multi-image face recognition
In order to handle complex face image variations in face recognition, multi-image face recognition has been proposed, instead of using a single still-imagebased approach. In many ...
Weiwen Zou, Pong C. Yuen