Numerical Sequence Extraction in Handwritten Incoming Mail Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Automatic extraction of numerical sequences in handwritten incoming mail documents
Pattern Recognition Letters
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Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing. This knowledge can help the recognition system to find coherent solutions from boththe lexical and the morphological points of view. We present the principles of a handwritten text recognition system based on the on-line learning of the writer shapes. The proposed scheme is shown to improve the recognition rates on a sample of fifteen writings, unknown to the system.