TWO METHODS FOR FILLED-IN DOCUMENT IMAGE IDENTIFICATION USING LOCAL FEATURES

Diego Carrion-Robles, Vicent Castello-Fos, Juan-Carlos Perez-Cortes, Joaquim Arlandis

2012

Abstract

In this work, the task of document image classification is dealt with, particularly in the case of pre-printed forms, where a large part of the document can be filled-in with the result of a potentially very different image. A method for the selection of discriminative local features is presented and tested along with two different classification algorithms. The first one is an incremental version of the method proposed in (Arlandis et al., 2009), based on similarity searching around a set anchor points, and the second one is based on a direct voting scheme ((Arlandis et al., 2011)). Experiments on a document database consisting of real office documents with a very high variability, as well as on the NIST SD6 database, are presented. A confidence measure intended to reject unknown documents (those that have not been indexed in advance as a given document class) is also proposed and tested.

Paper Citation

in Harvard Style

Carrion-Robles D., Castello-Fos V., Perez-Cortes J. and Arlandis J. (2012). TWO METHODS FOR FILLED-IN DOCUMENT IMAGE IDENTIFICATION USING LOCAL FEATURES . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: IATMLRP, (ICPRAM 2012) ISBN 978-989-8425-98-0, pages 481-487. DOI: 10.5220/0003884004810487

in Bibtex Style

@conference{iatmlrp12,
author={Diego Carrion-Robles and Vicent Castello-Fos and Juan-Carlos Perez-Cortes and Joaquim Arlandis},
title={TWO METHODS FOR FILLED-IN DOCUMENT IMAGE IDENTIFICATION USING LOCAL FEATURES},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: IATMLRP, (ICPRAM 2012)},
year={2012},
pages={481-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003884004810487},
isbn={978-989-8425-98-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: IATMLRP, (ICPRAM 2012)
TI - TWO METHODS FOR FILLED-IN DOCUMENT IMAGE IDENTIFICATION USING LOCAL FEATURES
SN - 978-989-8425-98-0
AU - Carrion-Robles D.
AU - Castello-Fos V.
AU - Perez-Cortes J.
AU - Arlandis J.
PY - 2012
SP - 481
EP - 487
DO - 10.5220/0003884004810487