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Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques.


Citation

Sulaiman, Md. Nasir and Khalid, Marzuki (2001) Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques. In: Persidangan Kebangsaan Penyelidikan & Pembangunan IPTA 2001 (25-26 Oktober 2001) hosted in Universiti Kebangsaan Malaysia, Bangi, Selangor, 25-26 Oktober 2001, Universiti Kebangsaan Malaysia, Bangi, Selangor. (pp. 848-852).

Abstract

In this paper, we present techniques to recognise the cursive handwritten courtesy amount from Malaysian bank cheques and convert it into its corresponding ASCII codes. The image is pre- processed and segmented using the combination of crossed-point, curved-point and histogram techniques. Three type of feature extraction methods which are transitions, shapes and moment invariant are used to extract local and global features of segmented handwritten digits. The main purpose of the feature extraction is to capture the most relevant and discriminant characteristics of the object. A three layer Neural Network architecture with the new error function of backpropagation learning algorithm is used as recogniser. This approach yields good recognition results with faster convergence rates.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Subject: Handwritten checks - Malaysia
Subject: Neural networks (Computer science)
Divisions: Faculty of Computer Science and Information Technology
Keywords: Handwritten courtesy amounts; Malaysian bank cheques; Segmented handwritten digits; Neural networks.
Depositing User: Samsida Samsudin
Date Deposited: 06 Jun 2013 01:01
Last Modified: 28 Aug 2014 08:03
URI: http://psasir.upm.edu.my/id/eprint/20832
Statistic Details: View Download Statistic

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