A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer

Handwriting is unique for each individual. Every single word presents the numbers of significant features that can be used for authenticating the author of the writing. The process of identify this significant features is called as feature selection process. Feature selection is an important area in...

Full description

Saved in:
Bibliographic Details
Main Authors: Sukor, Nooraziera Akmal, Draman @ Muda, Azah Kamilah, Draman @ Muda, Noor Azilah
Format: Book Chapter
Language:en
Published: Springer 2014
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/20004/2/Daeng_Mai.pdf
http://eprints.utem.edu.my/id/eprint/20004/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832717410954641408
author Sukor, Nooraziera Akmal
Draman @ Muda, Azah Kamilah
Draman @ Muda, Noor Azilah
author_facet Sukor, Nooraziera Akmal
Draman @ Muda, Azah Kamilah
Draman @ Muda, Noor Azilah
author_sort Sukor, Nooraziera Akmal
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description Handwriting is unique for each individual. Every single word presents the numbers of significant features that can be used for authenticating the author of the writing. The process of identify this significant features is called as feature selection process. Feature selection is an important area in the machine learning, specifically in pattern recognition which is becoming famous among the researchers. Tree-based structure method is one of the feature selection methods which is able to generate a compact subset of non-redundant features and hence improves interpretability and generalization. However its focus is still limited especially in Writer Identification domain. This paper proposes the role of the tree-based structure method performs in Writer Identification. Several methods of the tree-based structure are selected and performed using image dataset from IAM Handwriting Database. The results of each methods of Writer Identification are also analyzed and compared. The most interesting method will be further explored and adapted in future works.
format Book Chapter
id my.utem.eprints-20004
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2014
publisher Springer
record_format eprints
spelling my.utem.eprints-200042023-08-17T13:04:43Z http://eprints.utem.edu.my/id/eprint/20004/ A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer Sukor, Nooraziera Akmal Draman @ Muda, Azah Kamilah Draman @ Muda, Noor Azilah T Technology (General) TA Engineering (General). Civil engineering (General) Handwriting is unique for each individual. Every single word presents the numbers of significant features that can be used for authenticating the author of the writing. The process of identify this significant features is called as feature selection process. Feature selection is an important area in the machine learning, specifically in pattern recognition which is becoming famous among the researchers. Tree-based structure method is one of the feature selection methods which is able to generate a compact subset of non-redundant features and hence improves interpretability and generalization. However its focus is still limited especially in Writer Identification domain. This paper proposes the role of the tree-based structure method performs in Writer Identification. Several methods of the tree-based structure are selected and performed using image dataset from IAM Handwriting Database. The results of each methods of Writer Identification are also analyzed and compared. The most interesting method will be further explored and adapted in future works. Springer 2014 Book Chapter PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20004/2/Daeng_Mai.pdf Sukor, Nooraziera Akmal and Draman @ Muda, Azah Kamilah and Draman @ Muda, Noor Azilah (2014) A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer. In: Proceedings Of The First International Conference On Advanced Data And Information Engineering (Daeng-2013) - Springer. Lecture Notes in Electrical Engineering, 285 . Springer, Singapore, pp. 269-276. ISBN 9789814585170
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Sukor, Nooraziera Akmal
Draman @ Muda, Azah Kamilah
Draman @ Muda, Noor Azilah
A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title_full A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title_fullStr A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title_full_unstemmed A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title_short A Comparative Study Of Treebased Structure Methods For Handwriting Identification Springer
title_sort comparative study of treebased structure methods for handwriting identification springer
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.utem.edu.my/id/eprint/20004/2/Daeng_Mai.pdf
http://eprints.utem.edu.my/id/eprint/20004/
url_provider http://eprints.utem.edu.my/