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Title: Hand-geometry recognition using entropy-based discretization
Authors: Pathak, Ajay Kumar
Zhang, David D.
Subjects: Biometrics
Feature discretization
Feature representation
Hand geometry
Personal recognition
Issue Date: Jun-2007
Publisher: IEEE
Source: IEEE transactions on information forensics and security, June 2007, v. 2, no. 2, p. 181-187.
Abstract: The hand-geometry-based recognition systems proposed in the literature have not yet exploited user-specific dependencies in the feature-level representation. We investigate the possibilities to improve the performance of the existing hand-geometry systems using the discretization of extracted features. This paper proposes employing discretization of hand-geometry features, using entropy-based heuristics, to achieve the performance improvement. The performance improvement due to the unsupervised and supervised discretization schemes is compared on a variety of classifiers: k-NN, naïve Bayes, SVM, and FFN. Our experimental results on the database of 100 users achieve significant improvement in the recognition accuracy and confirm the usefulness of discretization in hand-geometry-based systems.
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Type: Journal/Magazine Article
DOI: 10.1109/TIFS.2007.896915
ISSN: 1556-6013
Appears in Collections:COMP Journal/Magazine Articles

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