A framework of artificial immune system in writer identification
Artificial Immune Systems (AIS) is an emerging computer 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 sol...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/577/ http://eprints.utm.my/577/1/04.pdf |
| _version_ | 1848889951604703232 |
|---|---|
| author | Muda, Azah Kamilah Shamsuddin, Siti Mariyam |
| author_facet | Muda, Azah Kamilah Shamsuddin, Siti Mariyam |
| author_sort | Muda, Azah Kamilah |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Artificial Immune Systems (AIS) is an emerging computer 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. |
| first_indexed | 2025-11-15T20:34:20Z |
| format | Conference or Workshop Item |
| id | utm-577 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:34:20Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-5772017-08-28T04:29:56Z http://eprints.utm.my/577/ A framework of artificial immune system in writer identification Muda, Azah Kamilah Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science Artificial Immune Systems (AIS) is an emerging computer 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. 2005-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/577/1/04.pdf Muda, Azah Kamilah and Shamsuddin, Siti Mariyam (2005) A framework of artificial immune system in writer identification. In: BIC`05, Puteri Pan Pacific Hotel, Johor Bahru. |
| spellingShingle | QA75 Electronic computers. Computer science Muda, Azah Kamilah Shamsuddin, Siti Mariyam 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 | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/577/ http://eprints.utm.my/577/1/04.pdf |