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Proceedings Paper

SVM-based automatic scanned image classification with quick decision capability
Author(s): Cheng Lu; Jerry Wagner; Brandi Pitta; David Larson; Jan Allebach
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Paper Abstract

Digital copiers are now widely used. One major issue for a digital copier is copy quality. In order to achieve as high quality as possible for every input document, multiple processing pipelines are included in a digital copier. Every processing pipeline is designed specifically for a certain class of document, which may be text, picture, or a mixture of both as is illustrated by the three examples shown in Fig. 1. In this paper, we describe an algorithm that can effectively classify an input image into its corresponding category. Publisher’s Note: The first printing of this volume was completed prior to the SPIE Digital Library publication and this paper has since been replaced with a corrected/revised version.

Paper Details

Date Published: 3 February 2014
PDF: 10 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150G (3 February 2014); doi: 10.1117/12.2047335
Show Author Affiliations
Cheng Lu, Purdue Univ. (United States)
Jerry Wagner, Hewlett-Packard Co. (United States)
Brandi Pitta, Hewlett-Packard Co. (United States)
David Larson, Hewlett-Packard Co. (United States)
Jan Allebach, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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