Capturing outline of fonts using genetic algorithm and splines

In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. Hence, it is very difficult to obtain a global optima. We present a method to c...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Sarfraz, M. (author)
مؤلفون آخرون: Raza, S.A. (author), unknown (author)
التنسيق: article
منشور في: 2001
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14252/1/14252_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14252/2/14252_2.doc
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author Sarfraz, M.
author2 Raza, S.A.
unknown
author2_role author
author
author_facet Sarfraz, M.
Raza, S.A.
unknown
author_role author
dc.creator.none.fl_str_mv Sarfraz, M.
Raza, S.A.
unknown
dc.date.none.fl_str_mv 2001
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14252/1/14252_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14252/2/14252_2.doc
(2001) Capturing outline of fonts using genetic algorithm and splines. Information Visualisation, 2001. Proceedings. Fifth International conference, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14252/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Capturing outline of fonts using genetic algorithm and splines
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. Hence, it is very difficult to obtain a global optima. We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. A parametric B-Spline has been approximated to various characters and symbols. The chromosomes have been constructed by considering the candidates of the locations of knots as genes. The best model among the candidates is searched by using the Akaike Information Criterion (AIC). The method determines the appropriate number and location of knots automatically and simultaneously. Some examples are given to show the results obtained from the algorithm
eu_rights_str_mv openAccess
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identifier_str_mv (2001) Capturing outline of fonts using genetic algorithm and splines. Information Visualisation, 2001. Proceedings. Fifth International conference, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14252
publishDate 2001
publisher.none.fl_str_mv IEEE
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spelling Capturing outline of fonts using genetic algorithm and splinesSarfraz, M.Raza, S.A.unknownComputerIn order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. Hence, it is very difficult to obtain a global optima. We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. A parametric B-Spline has been approximated to various characters and symbols. The chromosomes have been constructed by considering the candidates of the locations of knots as genes. The best model among the candidates is searched by using the Akaike Information Criterion (AIC). The method determines the appropriate number and location of knots automatically and simultaneously. Some examples are given to show the results obtained from the algorithmIEEE20012020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14252/1/14252_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14252/2/14252_2.doc (2001) Capturing outline of fonts using genetic algorithm and splines. Information Visualisation, 2001. Proceedings. Fifth International conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14252/info:eu-repo/semantics/openAccessoai::142522019-11-01T14:04:57Z
spellingShingle Capturing outline of fonts using genetic algorithm and splines
Sarfraz, M.
Computer
status_str publishedVersion
title Capturing outline of fonts using genetic algorithm and splines
title_full Capturing outline of fonts using genetic algorithm and splines
title_fullStr Capturing outline of fonts using genetic algorithm and splines
title_full_unstemmed Capturing outline of fonts using genetic algorithm and splines
title_short Capturing outline of fonts using genetic algorithm and splines
title_sort Capturing outline of fonts using genetic algorithm and splines
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14252/1/14252_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14252/2/14252_2.doc