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» On the Individuality of the Iris Biometric
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AVBPA
2003
Springer
126views Biometrics» more  AVBPA 2003»
14 years 1 months ago
Predicting Large Population Data Cumulative Match Characteristic Performance from Small Population Data
Given a biometric feature-space, in this paper we present a method to predict cumulative match characteristic (CMC) curve performance for a large population of individuals using a ...
Amos Y. Johnson, Jie Sun, Aaron F. Bobick
TMRA
2005
Springer
14 years 2 months ago
Just for Me: Topic Maps and Ontologies
The development of the IRIS semantic desktop platform has provided illumination of some important issues associated with the collection and manipulation of knowledge assets that a...
Jack Park, Adam Cheyer
ICB
2009
Springer
202views Biometrics» more  ICB 2009»
14 years 3 months ago
Beyond Minutiae: A Fingerprint Individuality Model with Pattern, Ridge and Pore Features
Abstract. Fingerprints are considered to be unique because they contain various distinctive features, including minutiae, ridges, pores, etc. Some attempts have been made to model ...
Yi Chen, Anil K. Jain
CVPR
2007
IEEE
14 years 10 months ago
Multi-Modal Biometrics Involving the Human Ear
Due to its semi-rigid shape and robustness against change over time, the ear has become an increasingly popular biometric feature. It has been shown that combining individual biom...
Christopher Middendorff, Kevin W. Bowyer, Ping Yan
HICSS
2007
IEEE
131views Biometrics» more  HICSS 2007»
14 years 3 months ago
Characterizing Genres of Web Pages: Genre Hybridism and Individualization
When dealing with genres of web pages, there are two important aspects to be taken into account. On the one hand, the web is fluid, unstable and fast-paced. On the other hand, gen...
Marina Santini