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Font recognition is one of the fundamental tasks in document recognition, because it is an important factor in optical character recognition. Classical supervised methods need lot of labeled data to train a classifier. Since it is very costly and time consuming to label large amounts of data, it is useful to use data sets without labels. So many different semi-supervised learning methods have been studied recently. Among the semi-supervised methods, self-training is one of the importantdoi:10.1016/j.procs.2010.12.057 fatcat:hsjonhfxqrfl3lpi5ihbnmxu3e