CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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In this paper we propose a complete methodology of printed text characterization for document labeling using texture features that have been inspired by a psychovisual approach. This approach considers visual human-based predicates to describe and identify text units according to their visual saliency and their perceptual attraction power on the reader’s eye. It supports a quick and robust process of functional labeling used to characterize text regions of document pages. The test databases are the Finland MTDB Oulu base J. Sauvola and H. Kauniskangas (1999) MediaTeam Document Database II, a CD-ROM document image collection, Oulu University, Finland that provides a great panel of document layouts and contents and our laboratory corpus that contains a large variety of composite documents (about 200 pages). The performance of the method gives very promising results.