VHDL modelling of fuzzy wavelet based handwritten recognition system

Authors:
W. L. Pang;M. B. I. Reaz;M. I. Ibrahimy;L. C. Low;F. Mohd-Yasin;R. A. Rahim
Affiliations:
Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia;Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia;Kulliyyah of Engineering, International Islamic University, Selangor, Malaysia;Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia;Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia;Kulliyyah of Engineering, International Islamic University, Selangor, Malaysia
Venue:
FS'06 Proceedings of the 7th WSEAS International Conference on Fuzzy Systems
Year:
2006

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Abstract

The handwritten character recognition system using fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fuzzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization capabilities 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 transform. 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.