A Study of Random Linear Oracle Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Towards a better understanding of random forests through the study of strength and correlation
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Pattern Recognition Letters
Hi-index | 0.00 |
In this article, we propose a segmentation-driven recognition system which aims at extracting numerical fields from handwritten documents. We show that a crucial point of the system is the rejection ability of the handwritten numeral classifier. Therefore, we propose a simple two-stage outlier rejection strategy, and we show the benefit of this strategy on the numerical field extraction results.