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A Framework of Artificial Immune System in Writer Identification

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.

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Abstract

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)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User: Azah Kamilah Muda
Date Deposited: 03 Aug 2011 03:34
Last Modified: 28 May 2015 02:16
URI: http://eprints.utem.edu.my/id/eprint/23

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