Feature Selection Methods for Writer Identification: A Comparative Study
Feature selection is an important area in the machine learning, specifically in pattern recognition. However, it has not received so many focuses in Writer Identification domain. Therefore, this paper is meant for exploring the usage of feature selection in this domain. Various filter and wrapper...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2010
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| Online Access: | http://eprints.utem.edu.my/id/eprint/39/1/rp053_Vol.1-I100.pdf http://eprints.utem.edu.my/id/eprint/39/ |
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| author | Pratama, S. F. Muda, A. K. Yun-Huoy, C. |
| author_facet | Pratama, S. F. Muda, A. K. Yun-Huoy, C. |
| author_sort | Pratama, S. F. |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Feature selection is an important area in the machine learning, specifically in pattern recognition. However,
it has not received so many focuses in Writer Identification
domain. Therefore, this paper is meant for exploring the usage of feature selection in this domain. Various filter and wrapper feature selection methods are selected and their performances are analyzed using image dataset from IAM Handwriting Database. It is also analyzed the number of features selected and the accuracy of these methods, and then evaluated and compared each method on the basis of these measurements. The evaluation identifies the most interesting method to be further explored and adapted in the future works to fully compatible with Writer Identification domain. |
| format | Conference or Workshop Item |
| id | my.utem.eprints-39 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2010 |
| record_format | eprints |
| spelling | my.utem.eprints-392015-05-28T02:16:33Z http://eprints.utem.edu.my/id/eprint/39/ Feature Selection Methods for Writer Identification: A Comparative Study Pratama, S. F. Muda, A. K. Yun-Huoy, C. TA Engineering (General). Civil engineering (General) Feature selection is an important area in the machine learning, specifically in pattern recognition. However, it has not received so many focuses in Writer Identification domain. Therefore, this paper is meant for exploring the usage of feature selection in this domain. Various filter and wrapper feature selection methods are selected and their performances are analyzed using image dataset from IAM Handwriting Database. It is also analyzed the number of features selected and the accuracy of these methods, and then evaluated and compared each method on the basis of these measurements. The evaluation identifies the most interesting method to be further explored and adapted in the future works to fully compatible with Writer Identification domain. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/39/1/rp053_Vol.1-I100.pdf Pratama, S. F. and Muda, A. K. and Yun-Huoy, C. (2010) Feature Selection Methods for Writer Identification: A Comparative Study. In: IEEE International Conference on Computer and Computational Intelligence (ICCCI 2010), 25 - 26 December, 2010, Nanning, China. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Pratama, S. F. Muda, A. K. Yun-Huoy, C. Feature Selection Methods for Writer Identification: A Comparative Study |
| title | Feature Selection Methods for Writer Identification: A Comparative Study |
| title_full | Feature Selection Methods for Writer Identification: A Comparative Study |
| title_fullStr | Feature Selection Methods for Writer Identification: A Comparative Study |
| title_full_unstemmed | Feature Selection Methods for Writer Identification: A Comparative Study |
| title_short | Feature Selection Methods for Writer Identification: A Comparative Study |
| title_sort | feature selection methods for writer identification: a comparative study |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/39/1/rp053_Vol.1-I100.pdf http://eprints.utem.edu.my/id/eprint/39/ |
| url_provider | http://eprints.utem.edu.my/ |