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Neural network in handwritten recognition system: A survey


Wan Ishak, Wan Hussain and Abdul Rahman, Shuzlina (2003) Neural network in handwritten recognition system: A survey. In: Proceeding of National ICT Seminar, 22 December 2003, Universiti Teknologi MARA (UiTM) Perlis. (Unpublished)

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Abstract

Neural network is a branch of Artificial Intelligence that imitates the biological processing function of the brain. Neural network has been implemented in various applications. One of the applications is handwritten recognition system. Handwritten is the art of an individual, which is controlled by the function of the brain. Every individual has his or her own style of writing. Hence, reading the handwriting is sonmetimes quite difficult. Many researches have been done in this area and yet still continuing. This paper presents a survey on the application of neural networks in handwritten recognition system. Several methodologies including feature extractions, neural network models and algorithms are highlighted.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Anjuran Jabatan Sains Komputer Universiti Teknologi MARA, Cawangan Perlis Kampus Arau
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 15 Aug 2011 07:18
Last Modified: 15 Aug 2011 07:18
URI: http://repo.uum.edu.my/id/eprint/3449

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