VHDL Modelling of Fuzzy Wavelet Based Handwritten Recognition System
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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.
7th WSEAS International Conference on FUZZY SYSTEMS (FS'06)
Copyright 2006 WSEAS. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
Electrical and Electronic Engineering not elsewhere classified