Data categorization for a context return applied to logical document structure recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
How to compose a complex document recognition system
Proceedings of the 2006 international workshop on Research issues in digital libraries
How to deal with uncertainty and variability: experience and solutions
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Extraction of Address Data from Unstructured Text using Free Knowledge Resources
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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A method for extracting a recipient address-block from a mail image has been developed. The method is composed of two steps: nomination of address-block candidates and evaluation of these candidates by using the Bayesian rule according to each of address-block type. Accordingly, the proposed method can cope with various types of address-blocks. The effectiveness of the method was confirmed in several address extraction experiments. These experiments show that the top-five extraction results include one correct address -block in 94% of total number of printed-mail cases and 89% in of handwritten- mail cases.