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 handwri...

This work presents a framework for wavelet-based representation of a given deterministic signal. We propose a method for matched wavelet based representation of the signal. Our method requires a signalconditioning step at each stage of the wavelet decomposition. The wavelet system designed in this work is biorthogonal. Both the signal-conditioning step and the wavelet system depend on the given...

If the wavelet system {aψ(a ·−bk)}j,k∈Z forms a frame onL(R) for some a > 1 and b > 0, then it is called a (regular) wavelet frame. In this case we can reconstruct any f from the sampled values (Wψf)(a , abk). In practice the sampling points may be irregular. We need to know for which wavelet ψ and parameters {(sj , bk)}j,k , the wavelet system {s j ψ(sj · −bk)}j,k∈Z forms a frame on L (R). In ...

In the presented paper, face images modeling in different circumstances such as occlusion, poses, and illumination was investigated. A novel research based on a new combination of discrete wavelet transform (DWT) packet (WP) methods conjunction with log energy sure entropies is proposed. Probabilistic neural network (PNN) used for classification. The performance proposed method investigated usi...