Paper
16 May 2003 Automatic discrimination of text images
Nicolo G. Alessi, Sebastiano Battiato, Giovanni Gallo, Massimo Mancuso, Filippo Stanco
Author Affiliations +
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicolo G. Alessi, Sebastiano Battiato, Giovanni Gallo, Massimo Mancuso, and Filippo Stanco "Automatic discrimination of text images", Proc. SPIE 5017, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV, (16 May 2003); https://doi.org/10.1117/12.476747
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image segmentation

Image classification

Cameras

Digital cameras

Image processing

Databases

Digital photography

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