Optical character recognition system research has been acquired howling success, but the reconstruction of layout needs fonts of the characters. In this paper, a novel font recognition algorithm is proposed, which is based on multi-scale wavelet analysis. We adopt wavelet analysis and the grid method to deal with the character image, and extract wavelet energy density feature, and apply the BP ...

Image fusion is processes of combining complementary information from a set of input images. The resultant fused image give large and reliable information. In this paper we study about Discrete wavelet and Discrete Multiwavelet and there use in image fusion. Discrete wavelet transform (DWT) technique is used for multi Resolution fusion. Multi Resolution fusion uses wavelet transform at multi sc...

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Abstract Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it’s widely used the Wavelet-based multi-scale sensor data fusion technology in many fields. There are two problems in operating process, which are the choice of wavelet base and the choice of decomposition level. The wavelet decomposition level i...

The results presented here constitute a brief summary of an on-going multi-year e ort to investigate hierarchical/wavelet bases for solving PDE's and establish a rigorous foundation for these methods. A new, hierarchical, wavelet-Galerkin solution strategy based upon the Donovan-GeronimoHardin-Massopust (DGHM) compactly-supported multi-wavelet is presented for elliptic partial di erential equat...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

The stochastic resonance method finds its original application on solving the issue of singlefrequency signals. In this paper, a multi-frequency stochastic resonance detection method based on wavelet transform weak signal is proposed. The first wavelet transform is carried out for detaching the negative effect of weak noisy signal in multi-frequency to realize the separation of the various freq...

In this work, a sort of binary wavelet packages with multi-scale are introduced, which are generalizations of multivariant wavelet packages. Finitely Supported wavelet bases for Sobolev spaces is researched. Steming from a pair of finitely supported refinale functions with multi-scaled dilation factor in space 2 2 ( ) L R satsfying a very mild condition, we provide a novel method for designing ...