On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
VHDL modelling of fuzzy wavelet based handwritten recognition system
FS'06 Proceedings of the 7th WSEAS International Conference on Fuzzy Systems
Technical Section: A multiresolution approach to iris synthesis
Computers and Graphics
A statistical-topological feature combination for recognition of handwritten numerals
Applied Soft Computing
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This paper validates a recognition system using bi-dimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition process. An experiment to verify the efficiency of the wavelets was performed omitting the feature extraction step. Results show that information about the relevant image features are evenly distributed in all subband images of wavelet coefficients and that wavelets are promising feature extractors. Numerals from the NIST database were used for evaluation of the systems tested.