Page classification through logical labelling

TitlePage classification through logical labelling
Publication TypeConference Papers
Year of Publication2002
AuthorsLiang J, Doermann D, Ma M, Guo JK
Conference NamePattern Recognition, 2002. Proceedings. 16th International Conference on
Date Published2002///
Keywordsarticle, attributed, base;, character, classification;, constraints;, document, document;, experimental, global, graph, graph;, hierarchical, image, images;, labelling;, logical, model, noise;, OCR;, optical, page, pages;, processing;, recognition;, relational, results;, technical, theory;, title, unknown

We propose an integrated approach to page classification and logical labelling. Layout is represented by a fully connected attributed relational graph that is matched to the graph of an unknown document, achieving classification and labelling simultaneously. By incorporating global constraints in an integrated fashion, ambiguity at the zone level can be reduced, providing robustness to noise and variation. Models are automatically trained from sample documents. Experimental results show promise for the classification and labelling of technical article title pages, and supports the idea of a hierarchical model base.