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TIFS
2008
121views more  TIFS 2008»
13 years 7 months ago
Effect of Severe Image Compression on Iris Recognition Performance
We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for ide...
John Daugman, Cathryn Downing
PR
2007
261views more  PR 2007»
13 years 7 months ago
Image registration by local histogram matching
We previously presented an image registration method, referred to hierarchical attribute matching mechanism for elastic registration (HAMMER), which demonstrated relatively high a...
Dinggang Shen
CVPR
2011
IEEE
13 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ISVC
2007
Springer
14 years 1 months ago
Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments
Abstract. The iris is currently accepted as one of the most accurate traits for biometric purposes. However, for the sake of accuracy, iris recognition systems rely on good quality...
Hugo Proença, Luís A. Alexandre
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
14 years 25 days ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom