الفهرس 
Wavelet TransformOnly 14 pages are availabe for public view
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Abstract
The theory and applications of wavelets have undoubtedly
dominated the scientific journals in all mathematical, engineering and
related fields throughout the last decade. The great capabilities and
useful properties of the wavelets have been used and have proven
a great success in many applications.
In this work, we presented a survey on the theory of the
wavelets including the relation between the Fourier transform and the
wavelet transform, the multiresolution analysis concept, the wavelet
analysis relation to filter banks, orthogonal and biorthogonal wavelet
systems, and various examples of wavelet families and their features.
The power of wavelet analysis is emphasized by showing its wide
range of applications.
A survey on character recognition is given with a special
attention given to the Arabic case. The Arabic text features are stated
and a survey was made on the previous work on Arabic text
segmentation and recognition.
A character recognition system for the Arabic language
writing was proposed. The proposed system consists of two main
stages, the segmentation stage and the recognition stage. The
segmentation is based on a set of heuristic rules which are driven
from the study of the topological and geometrical features of the
Arabic characters. The segmentation stage is preceded with
a preprocessing stage that is used to normalize the pen width, skew
and extract the topological and geometrical features that will be used
in the segmentation stage. In the recognition stage, the wavelet
transform is used to extract the mutli-resolution features and the
extracted wavelet features are used as features in the recognition
stage. Using artificial neural networks, the system was trained using a training set and then the system was tested on a test set of Arabic
words.
The experimental results indicated that the proposed
segmentation and recognition systems for Arabic text show high
efficiency in segmenting and recognizing Arabic text.
Keywords: Wavelets - Preprocessing - Segmentation - Arabic
Character Recognition - Image Processing