A Framework of Artificial Immune System in Writer Identification
science technique which is inspired from biological process and has a nonlinear classification property along with biological property such as Negative Selection (NS). AIS has been proved as one of the mechanism that has a good potential in solving complex problem such as pattern recognition. Meanwh...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2005
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| Online Access: | http://eprints.utem.edu.my/id/eprint/23/1/azah_BIC2005.pdf http://eprints.utem.edu.my/id/eprint/23/ |
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| _version_ | 1832715921552048128 |
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| author | Muda, A. K. Shamsuddin, S. M. |
| author_facet | Muda, A. K. Shamsuddin, S. M. |
| author_sort | Muda, A. K. |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | science technique which is inspired from biological process and has a nonlinear classification property along with biological property such as Negative Selection (NS). AIS has been proved as one of the mechanism that has a good potential in solving complex problem such as pattern recognition. Meanwhile, handwritten writer identification is one of the most popular areas of research in pattern recognition due to its immense potential on commercial perspective. Due to the importance and increasing interest in bio-inspired computing, this paper proposed AIS framework for writer identification. However, early findings on data iris and pendigits show that the proposed framework is convincing with an accuracy of more than 80.0% with various matching techniques. |
| format | Conference or Workshop Item |
| id | my.utem.eprints-23 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2005 |
| record_format | eprints |
| spelling | my.utem.eprints-232015-05-28T02:16:29Z http://eprints.utem.edu.my/id/eprint/23/ A Framework of Artificial Immune System in Writer Identification Muda, A. K. Shamsuddin, S. M. TA Engineering (General). Civil engineering (General) science technique which is inspired from biological process and has a nonlinear classification property along with biological property such as Negative Selection (NS). AIS has been proved as one of the mechanism that has a good potential in solving complex problem such as pattern recognition. Meanwhile, handwritten writer identification is one of the most popular areas of research in pattern recognition due to its immense potential on commercial perspective. Due to the importance and increasing interest in bio-inspired computing, this paper proposed AIS framework for writer identification. However, early findings on data iris and pendigits show that the proposed framework is convincing with an accuracy of more than 80.0% with various matching techniques. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/23/1/azah_BIC2005.pdf Muda, A. K. and Shamsuddin, S. M. (2005) A Framework of Artificial Immune System in Writer Identification. In: International Symposium of Bio-inspired Computing, 5 - 7 Sept, 2005, Johor Bahru, Malaysia. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Muda, A. K. Shamsuddin, S. M. A Framework of Artificial Immune System in Writer Identification |
| title | A Framework of Artificial Immune System in Writer Identification |
| title_full | A Framework of Artificial Immune System in Writer Identification |
| title_fullStr | A Framework of Artificial Immune System in Writer Identification |
| title_full_unstemmed | A Framework of Artificial Immune System in Writer Identification |
| title_short | A Framework of Artificial Immune System in Writer Identification |
| title_sort | framework of artificial immune system in writer identification |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/23/1/azah_BIC2005.pdf http://eprints.utem.edu.my/id/eprint/23/ |
| url_provider | http://eprints.utem.edu.my/ |