VHDL modeling of fuzzy wavelet based handwritten recognition system

The handwritten character recognition system usi ng fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fu zzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization cap abilities of wavelet transform in featu...

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Main Authors: Pang, W. L., Reaz, Mamun Ibn, Ibrahimy, Muhammad Ibn, Low, L. C., Mohd-Yasin, Faisal, Rahim, R. A.
Format: Proceeding Paper
Language:English
Published: 2006
Subjects:
Online Access:http://irep.iium.edu.my/36664/
http://irep.iium.edu.my/36664/1/c-10_524-116.pdf
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author Pang, W. L.
Reaz, Mamun Ibn
Ibrahimy, Muhammad Ibn
Low, L. C.
Mohd-Yasin, Faisal
Rahim, R. A.
author_facet Pang, W. L.
Reaz, Mamun Ibn
Ibrahimy, Muhammad Ibn
Low, L. C.
Mohd-Yasin, Faisal
Rahim, R. A.
author_sort Pang, W. L.
building IIUM Repository
collection Online Access
description The handwritten character recognition system usi ng fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fu zzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization cap abilities of wavelet transform in feature extraction enhances the accuracy of recognition at pixel level. The characteristic features of handwritten character in image format are extracted by taking Haar wavelet transf orm. The design was implemented using VHDL. The VHDL model is simulated and synthesized using Altera’s Quartus II. The system operates up to 13.27 Mega Hertz (MHz) with equivalent longest propagation delay of 75.336ns.
first_indexed 2025-11-14T15:46:52Z
format Proceeding Paper
id iium-36664
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T15:46:52Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling iium-366642014-05-21T08:30:32Z http://irep.iium.edu.my/36664/ VHDL modeling of fuzzy wavelet based handwritten recognition system Pang, W. L. Reaz, Mamun Ibn Ibrahimy, Muhammad Ibn Low, L. C. Mohd-Yasin, Faisal Rahim, R. A. T Technology (General) The handwritten character recognition system usi ng fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fu zzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization cap abilities of wavelet transform in feature extraction enhances the accuracy of recognition at pixel level. The characteristic features of handwritten character in image format are extracted by taking Haar wavelet transf orm. The design was implemented using VHDL. The VHDL model is simulated and synthesized using Altera’s Quartus II. The system operates up to 13.27 Mega Hertz (MHz) with equivalent longest propagation delay of 75.336ns. 2006 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/36664/1/c-10_524-116.pdf Pang, W. L. and Reaz, Mamun Ibn and Ibrahimy, Muhammad Ibn and Low, L. C. and Mohd-Yasin, Faisal and Rahim, R. A. (2006) VHDL modeling of fuzzy wavelet based handwritten recognition system. In: 7th WSEAS International Conference on Fuzzy Systems, 12-14 June, 2006, Cavtat, Croatia. http://www.wseas.us/e-library/conferences/2006cavtat/fs/index.htm
spellingShingle T Technology (General)
Pang, W. L.
Reaz, Mamun Ibn
Ibrahimy, Muhammad Ibn
Low, L. C.
Mohd-Yasin, Faisal
Rahim, R. A.
VHDL modeling of fuzzy wavelet based handwritten recognition system
title VHDL modeling of fuzzy wavelet based handwritten recognition system
title_full VHDL modeling of fuzzy wavelet based handwritten recognition system
title_fullStr VHDL modeling of fuzzy wavelet based handwritten recognition system
title_full_unstemmed VHDL modeling of fuzzy wavelet based handwritten recognition system
title_short VHDL modeling of fuzzy wavelet based handwritten recognition system
title_sort vhdl modeling of fuzzy wavelet based handwritten recognition system
topic T Technology (General)
url http://irep.iium.edu.my/36664/
http://irep.iium.edu.my/36664/
http://irep.iium.edu.my/36664/1/c-10_524-116.pdf