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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