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A framework of artificial immune system in writer identification

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.



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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Framework, artificial immune system
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:577
Deposited By: Norazlizafarah Anuar
Deposited On:24 May 2007 04:26
Last Modified:28 Aug 2017 04:29

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