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Proceedings Paper

Automatic discrimination of text images
Author(s): Nicolo G. Alessi; Sebastiano Battiato; Giovanni Gallo; Massimo Mancuso; Filippo Stanco
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Paper Abstract

This paper introduces a method for the automatic discrimination of digital images based on their semantic content. The proposed system allows to detect if a digital image contains or not a text. This is realized by a multi-steps procedure based on low-level features set properly derived. Our experiments show that the proposed algorithm is competitive in efficiency with classical techniques, and it has a lower complexity.

Paper Details

Date Published: 16 May 2003
PDF: 9 pages
Proc. SPIE 5017, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV, (16 May 2003); doi: 10.1117/12.476747
Show Author Affiliations
Nicolo G. Alessi, Univ. degli Studi di Catania (Italy)
Sebastiano Battiato, STMicroelectronics (Italy)
Giovanni Gallo, Univ. degli Studi di Catania (Italy)
Massimo Mancuso, STMicroelectronics (Italy)
Filippo Stanco, Univ. degli Studi di Catania (Italy)


Published in SPIE Proceedings Vol. 5017:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV
Nitin Sampat; Ricardo J. Motta; Morley M. Blouke; Nitin Sampat; Ricardo J. Motta, Editor(s)

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