Abstract
In this work, we propose a new scheme for the recognition of document images under a syntactic approach. We present a new method to model the layout of the document using a tree-like representation of the form. The syntactic representation of the documents are used to infer a tree automaton for each one of the classes involved in the task. An error-correcting analysis of tree languages allows us to carry out the classification. The experimentation carried out showed the good behaviour of the approach: error rate of 1.18%. © Springer-Verlag 2004.
Cite
CITATION STYLE
Perea, I., & López, D. (2004). Syntactic modeling and recognition of document images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3138, 416–424. https://doi.org/10.1007/978-3-540-27868-9_44
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