Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques.
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 t...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2001
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/20832/ http://psasir.upm.edu.my/id/eprint/20832/1/ID%2020832.pdf |
| _version_ | 1848844069476761600 |
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| author | Sulaiman, Md. Nasir Khalid, Marzuki |
| author_facet | Sulaiman, Md. Nasir Khalid, Marzuki |
| author_sort | Sulaiman, Md. Nasir |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T08:25:04Z |
| format | Conference or Workshop Item |
| id | upm-20832 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:25:04Z |
| publishDate | 2001 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-208322014-08-28T08:03:40Z http://psasir.upm.edu.my/id/eprint/20832/ Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques. Sulaiman, Md. Nasir Khalid, Marzuki 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. 2001 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/20832/1/ID%2020832.pdf 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). Handwritten checks - Malaysia Neural networks (Computer science) English |
| spellingShingle | Handwritten checks - Malaysia Neural networks (Computer science) Sulaiman, Md. Nasir Khalid, Marzuki Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques. |
| title | Recognition of the cursive handwritten courtesy amounts of
Malaysian bank cheques. |
| title_full | Recognition of the cursive handwritten courtesy amounts of
Malaysian bank cheques. |
| title_fullStr | Recognition of the cursive handwritten courtesy amounts of
Malaysian bank cheques. |
| title_full_unstemmed | Recognition of the cursive handwritten courtesy amounts of
Malaysian bank cheques. |
| title_short | Recognition of the cursive handwritten courtesy amounts of
Malaysian bank cheques. |
| title_sort | recognition of the cursive handwritten courtesy amounts of
malaysian bank cheques. |
| topic | Handwritten checks - Malaysia Neural networks (Computer science) |
| url | http://psasir.upm.edu.my/id/eprint/20832/ http://psasir.upm.edu.my/id/eprint/20832/1/ID%2020832.pdf |