By Topic

A Multi-Layer Perceptron approach to threshold documents with complex background

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Juliano C. B. Rabelo ; Center for Informatics, Federal University of Pernambuco, Recife, Brazil ; Cleber Zanchettin ; Carlos A. B. Mello ; Byron L. D. Bezerra

This paper describes a thresholding method based on a Multi-Layer Perceptron approach for documents with complex backgrounds. The study case is focused on two regions of Brazilian bank checks: the courtesy amount and the character magnetic code. Those images have complex backgrounds with different patterns, which is a problem for an automatic recognition system. The new approach is based on a connectionistic approach to find the best threshold value. The proposed method is compared to ten thresholding algorithms (classical and specific for bank checks) in three different real bank checks databases, according to different evaluation metrics (recognition rate, peak signal-to-noise ratio, mean square error, precision, recall, accuracy, specificity, negative rate metric, misclassification penalty metric and f-measure). Based on the results, we may conclude the proposed method is more robust to variations in the image acquiring process, which influences the contrast, bright, hue and amount of noise verified in the image.

Published in:

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Date of Conference:

9-12 Oct. 2011