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Decomposition Integral Based Generalizations of OWA Operators Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Similarity Measures for Radial Data

Authors : Carlos Lopez-Molina, Cedric Marco-Detchart, Javier Fernandez, Juan Cerron, Mikel Galar, Humberto Bustince

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems

Publisher: Springer International Publishing

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Abstract

Template-based methods for image processing hold a list of advantages over other families of methods, e.g. simplicity and ability to mimic human behaviour. However, they also demand a careful design of the pattern representatives as well as that of the operators in charge of measuring/detecting their presence in the data. This work presents a method for fingerprint analysis, specifically for singular point detection, based on template matching. The matching process sparks the need for similarity measures able to cope with radial data. As a result, we introduce the concepts of Restricted Radial Equivalence Function (RREF) and Radial Similarity Measure (RSM), further used to evaluate the perceptual closeness of scalar and vectorial pieces of radial data, respectively. Our method, which goes by the name of Template-based Singular Point Detection method (TSPD), has qualitative advantages over other alternatives, and proves to be competitive with state-of-the art methods in quantitative terms.

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Footnotes
1
The method in [17] is indeed used as baseline contender for the experiments in Sect. 5.
 
2
The labels for this experiment can be downloaded from [4].
 
3
The threshold for each method, including Liu’s and Poincaré, has been manually set to optimize the results.
 
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Metadata
Title
Similarity Measures for Radial Data
Authors
Carlos Lopez-Molina
Cedric Marco-Detchart
Javier Fernandez
Juan Cerron
Mikel Galar
Humberto Bustince
Copyright Year
2016
Book
Information Processing and Management of Uncertainty in Knowledge-Based Systems

Print ISBN: 978-3-319-40595-7

Electronic ISBN: 978-3-319-40596-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-40596-4_50

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