An efficient method for on-line Vietnamese handwritten character recognition
Proceedings of the Third Symposium on Information and Communication Technology
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Recognition of handwritten characters has been a popular task for the evaluation of classification algorithms for manyyears. Looking at the latest results on databases such as USPS or MNIST, one could think that character recognition is a solved problem. In this paper, we claim that this is not the case for two reasons : first because the classical databases for digit recognition are realistic but too simple and second because digit recognition is not a real-world task but only a part of it. In this paper, we contribute to a better understanding of these two aspects with new results. In a first part, we compare three state-of-the-artrecognizers on a digitrecognition task extracted from a real world application and show that the error rates on this database can not be extrapolated fromMNIST. Then, in a second part, we present and evaluate a system designed for an industrial application based on character recognition : document identification with floating field recognition.