Embedded scale united moment invariant for identification of handwriting individuality

Past few years, a lot of research on moment functions have been explored in pattern recognition. Several new techniques have been investigated to improve conventional regular moment by proposing the scaling factor of geometrical function. In this paper, integrated scaling formulations of Aspect Inva...

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Main Authors: Muda, Azah Kamilah, Shamsuddin, Siti Mariyam, Darus, Maslina
Format: Book Section
Published: Springer Berlin / Heidelberg 2007
Subjects:
Online Access:http://eprints.utm.my/6715/
http://www.springerlink.com/content/ngj2040138m17522/fulltext.pdf
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author Muda, Azah Kamilah
Shamsuddin, Siti Mariyam
Darus, Maslina
author_facet Muda, Azah Kamilah
Shamsuddin, Siti Mariyam
Darus, Maslina
author_sort Muda, Azah Kamilah
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description Past few years, a lot of research on moment functions have been explored in pattern recognition. Several new techniques have been investigated to improve conventional regular moment by proposing the scaling factor of geometrical function. In this paper, integrated scaling formulations of Aspect Invariant Moment and Higher Order Scaling Invariant with United Moment Invariant are presented in Writer Identification to seek the invarianceness of authorship or individuality of handwriting perseverance. Mathematical proving and results of computer simulations are included to verify the validity of the proposed technique in identifying eccentricity of the author in Writer Identification.
format Book Section
id my.utm.eprints-6715
institution Universiti Teknologi Malaysia
publishDate 2007
publisher Springer Berlin / Heidelberg
record_format eprints
spelling my.utm.eprints-67152017-07-25T02:38:03Z http://eprints.utm.my/6715/ Embedded scale united moment invariant for identification of handwriting individuality Muda, Azah Kamilah Shamsuddin, Siti Mariyam Darus, Maslina QA75 Electronic computers. Computer science Past few years, a lot of research on moment functions have been explored in pattern recognition. Several new techniques have been investigated to improve conventional regular moment by proposing the scaling factor of geometrical function. In this paper, integrated scaling formulations of Aspect Invariant Moment and Higher Order Scaling Invariant with United Moment Invariant are presented in Writer Identification to seek the invarianceness of authorship or individuality of handwriting perseverance. Mathematical proving and results of computer simulations are included to verify the validity of the proposed technique in identifying eccentricity of the author in Writer Identification. Springer Berlin / Heidelberg 2007-08-29 Book Section PeerReviewed Muda, Azah Kamilah and Shamsuddin, Siti Mariyam and Darus, Maslina (2007) Embedded scale united moment invariant for identification of handwriting individuality. In: Computational science and its applications – ICCSA 2007. Springer Berlin / Heidelberg, pp. 385-396. ISBN 978-3-540-74468-9 http://www.springerlink.com/content/ngj2040138m17522/fulltext.pdf 10.1007/978-3-540-74472-6
spellingShingle QA75 Electronic computers. Computer science
Muda, Azah Kamilah
Shamsuddin, Siti Mariyam
Darus, Maslina
Embedded scale united moment invariant for identification of handwriting individuality
title Embedded scale united moment invariant for identification of handwriting individuality
title_full Embedded scale united moment invariant for identification of handwriting individuality
title_fullStr Embedded scale united moment invariant for identification of handwriting individuality
title_full_unstemmed Embedded scale united moment invariant for identification of handwriting individuality
title_short Embedded scale united moment invariant for identification of handwriting individuality
title_sort embedded scale united moment invariant for identification of handwriting individuality
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/6715/
http://www.springerlink.com/content/ngj2040138m17522/fulltext.pdf
url_provider http://eprints.utm.my/