Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification

Writer identification (WI) is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. Recently, its focal point is in forensics and biometric application as such the writing style can be used as biometric features for authenticating individuali...

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Main Authors: Muda, A. K., Shamsuddin, S. M., Abraham, A.
Format: Article
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/41/
http://eprints.utem.edu.my/id/eprint/41/1/NN_v3_2010_azah.pdf
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author Muda, A. K.
Shamsuddin, S. M.
Abraham, A.
author_facet Muda, A. K.
Shamsuddin, S. M.
Abraham, A.
author_sort Muda, A. K.
building UTeM Institutional Repository
collection Online Access
description Writer identification (WI) is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. Recently, its focal point is in forensics and biometric application as such the writing style can be used as biometric features for authenticating individuality uniqueness. Existing works in WI concentrate on feature extraction and classification task in order to identify the handwritten authorship. However, additional steps need to be performed in order to have a better representation of input prior the classification task. Extracted features from the feature extraction task for a writer are in various representations which degrade the classification performance. This paper will discuss this additional process that can transform the various representations into a better representation of individual features for Individuality of Handwriting, in order to improve the performance of identification in WI.
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spelling utem-412021-09-19T15:24:01Z http://eprints.utem.edu.my/id/eprint/41/ Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification Muda, A. K. Shamsuddin, S. M. Abraham, A. TA Engineering (General). Civil engineering (General) Writer identification (WI) is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. Recently, its focal point is in forensics and biometric application as such the writing style can be used as biometric features for authenticating individuality uniqueness. Existing works in WI concentrate on feature extraction and classification task in order to identify the handwritten authorship. However, additional steps need to be performed in order to have a better representation of input prior the classification task. Extracted features from the feature extraction task for a writer are in various representations which degrade the classification performance. This paper will discuss this additional process that can transform the various representations into a better representation of individual features for Individuality of Handwriting, in order to improve the performance of identification in WI. 2010 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/41/1/NN_v3_2010_azah.pdf Muda, A. K. and Shamsuddin, S. M. and Abraham, A. (2010) Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification. International Journal on Non-Standard Computing and Artificial Intelligence - Neural Network World. pp. 371-387. ISSN 1210-0552
spellingShingle TA Engineering (General). Civil engineering (General)
Muda, A. K.
Shamsuddin, S. M.
Abraham, A.
Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title_full Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title_fullStr Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title_full_unstemmed Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title_short Improvement of Authorship Invarianceness for Individuality Representation in Writer Identification
title_sort improvement of authorship invarianceness for individuality representation in writer identification
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utem.edu.my/id/eprint/41/
http://eprints.utem.edu.my/id/eprint/41/1/NN_v3_2010_azah.pdf