Wavelets' Application for Improving the Neural Network
Recognition of Text Images
Dimo Dimov, Sergei Milanov
Institute of Information Technologies, 1113 Sofia, E-mail: dtdim@iinf.bas.bg
Abstract: The paper presents usage of wavelet transform for pre-processing
of graphic objects, liable to recognition. It is investigated the possibility for
preliminary structuring and reducing of the information, passed to a traditional
classifier - nonlinear three-layer perceptron, to improve its recognition opportunities.
Experiments performed for recognition of isolated letters are briefly reported.
The analysis of the experimental results shows that optimal levels can be defined
for reducing and structuring of the input information. A heuristic algorithm is also
suggested for a priori evaluation of these levels, i.e. for a preliminary definition
of the number of necessary neurons in the input layer of the perceptron.
Keywords: image pre-processing, wavelet transform, nonlinear multi-layer perceptron,
structuring and reducing of features for recognition