3 February 2014 SVM-based automatic scanned image classification with quick decision capability
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheng Lu, Cheng Lu, Jerry Wagner, Jerry Wagner, Brandi Pitta, Brandi Pitta, David Larson, David Larson, Jan Allebach, Jan Allebach, "SVM-based automatic scanned image classification with quick decision capability", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150G (3 February 2014); doi: 10.1117/12.2047335; https://doi.org/10.1117/12.2047335


Adaptive graph construction for Isomap manifold learning
Proceedings of SPIE (March 15 2015)
Dynamic object recognition using hit-or-miss approach
Proceedings of SPIE (September 20 1994)
Image data compression using the SCAN patterns
Proceedings of SPIE (April 07 1993)
Unsupervised hyperspectral image classification
Proceedings of SPIE (September 11 2007)
Text location in color documents
Proceedings of SPIE (January 12 2003)
Radar image analysis utilizing junctive image metamorphosis
Proceedings of SPIE (September 14 1998)

Back to Top