Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @InProceedings{Alsulaiman:2012:CISDA,
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author = "Fawaz A. Alsulaiman and Julio J. Valdes and
Abdulmotaleb {El Saddik}",
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booktitle = "Computational Intelligence for Security and Defence
Applications (CISDA), 2012 IEEE Symposium on",
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title = "Identity verification based on haptic handwritten
signatures: Genetic programming with unbalanced data",
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year = "2012",
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DOI = "doi:10.1109/CISDA.2012.6291531",
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abstract = "In this paper, haptic-based handwritten signature
verification using Genetic Programming (GP)
classification is presented. The relevance of different
haptic data types (e.g., force, position, torque, and
orientation) in user identity verification is
investigated. In particular, several fitness functions
are used and their comparative performance is
investigated. They take into account the unbalance
dataset problem (large disparities within the class
distribution), which is present in identity
verification scenarios. GP classifiers using such
fitness functions compare favourably with classical
methods. In addition, they lead to simple equations
using a much smaller number of attributes. It was found
that collectively, haptic features were approximately
as equally important as visual features from the point
of view of their contribution to the identity
verification process.",
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keywords = "genetic algorithms, genetic programming, handwriting
recognition, haptic interfaces, image classification,
GP classification, GP classifiers, fitness functions,
genetic programming classification, haptic data types,
haptic features, haptic-based handwritten signature
verification, unbalance dataset problem, user identity
verification, visual features, Biological cells,
Biometrics, Force, Gene expression, Haptic interfaces,
Vectors",
-
notes = "Also known as \cite{6291531}",
- }
Genetic Programming entries for
Fawaz A Alsulaiman
Julio J Valdes
Abdulmotaleb El Saddik
Citations