Derrick Leflore
North Carolina Agricultural and Technical State University
6 Papers
64 Citations
Derrick Leflore is an academic researcher from North Carolina Agricultural and Technical State University. The author has contributed to research in topics: Biometrics & Evolutionary computation. The author has an hindex of 5, co-authored 6 publications.
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Papers
Genetic & Evolutionary Biometric Security: Disposable Feature Extractors for Mitigating Biometric Replay Attacks
Joseph Shelton,Kelvin Bryant,Sheldon Abrams,Lasanio Small,Joshua Adams,Derrick Leflore,Aniesha Alford,Karl Ricanek,Gerry Dozier +8 more
TL;DR: The results show that this GEBS application can be successfully used to mitigate biometric replay attacks and propose two access control protocols based on the use of disposable FEs and/or their resulting templates (also referred to as feature vectors).
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Genetic & Evolutionary Biometrics: Hybrid feature selection and weighting for a multi-modal biometric system
Aniesha Alford,Crystal Steed,Marcus Jeffrey,Donovan Sweet,Joseph Shelton,Lasanio Small,Derrick Leflore,Gerry Dozier,Kelvin Bryant,Tamirat Abegaz,John C. Kelly,Karl Ricanek +11 more
- 15 Mar 2012
TL;DR: The goal of GEFeWSML is to evolve feature masks (FMs) that achieve high recognition accuracy, use a low percentage of features, and generalize well to unseen subjects.
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Genetic & Evolutionary Biometrics: Feature extraction from a Machine Learning perspective
Joseph Shelton,Aniesha Alford,Lasanio Small,Derrick Leflore,Jared Williams,Joshua Adams,Gerry Dozier,Kelvin Bryant,Tamirat Abegaz,Karl Ricanek +9 more
- 15 Mar 2012
TL;DR: This paper presents a GEB application called GEFEML (Genetic and Evolutionary Feature Extraction - Machine Learning), which incorporates a machine learning technique, referred to as cross validation, in an effort to evolve a population of local binary pattern feature extractors that generalize well to unseen subjects.
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Mouse tracking, behavioral biometrics, and GEFE
Joseph Shelton,Joshua Adams,Derrick Leflore,Gerry Dozier +3 more
- 04 Apr 2013
TL;DR: A mouse movement behavioral biometric that involves image feature extraction using Genetic and Evolutionary Computations and suggests that mouse movement can be used to successfully distinguish between users.
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Genetic & Evolutionary Biometrics
Aniesha Alford,Joseph Shelton,Joshua Adams,Derrick Leflore,Michael E. Payne,Jonathan Turner,Vincent McLean,Robert Benson,Gerry Dozier,Kelvin Bryant,John C. Kelly +10 more
- 28 Nov 2012
TL;DR: Genetic & Evolutionary Computation is the field of study devoted to the design, development, and analysis of problem solvers based on natural selection and has been successfully applied to a wide range of complex, real world optimization problems.