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Ocular motion classification for mobile device presentation attack detection
(2020)
As a practical pursuit of quantified uniqueness, biometrics explores the parameters that make us who we are and provides the tools we need to secure the integrity of that identity. In our culture of constant connectivity, ...
Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach
(University of Missouri--Kansas City, 2011-01-20)
Using a classification guided feature selection (wrapper method) in conjunction with a new performance metric, I present a solution to multi-class subject invariant Brain Computer Interface (BCIs) using electroencephalography ...
A Multimodal Biometric Authentication for Smartphones
(University of Missouri–Kansas City, 2015)
Biometrics is seen as a viable solution to ageing password based authentication on smartphones. Fingerprint biometric is leading the biometric technology for smartphones, however, owing to its high cost, major players in ...
Framework for Automatic Identification of Paper Watermarks with Chain Codes
(University of Missouri--Kansas City, 2017)
In this dissertation, I present a new framework for automated description, archiving, and
identification of paper watermarks found in historical documents and manuscripts. The early
manufacturers of paper have introduced ...