IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Segmentation and recognition of handwritten dates: an HMM-MLP hybrid approach
International Journal on Document Analysis and Recognition
The Characterization of Classification Problems by Classifier Disagreements
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Handwritten Recognition with Multiple Classifiers for Restricted Lexicon
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Thanatos: automatically retrieving information from death certificates in Brazil
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Hi-index | 0.00 |
The contribution of this paper is twofold. First we investigate the use of the confusion matrices in order to get some insight to better define perceptual zoning for character recognition. The features considered in this work are based on concavities/convexities deficiencies, which are obtained by labeling the background pixels of the input image. Four different perceptual zoning (symmetrical and non-symmetrical) are discussed. Experiments show that this mechanism of zoning could be considered as a reasonable alternative to exhaustive search algorithms. The second contribution is a methodology to define metaclasses for the problem of handwritten character recognition. The proposed approach is based on the disagreement among the characters and it uses Euclidean distance computed between the confusion matrices. Through comprehensive experiments we demonstrate that the use of metaclasses can improve the performance of the system.