基于卷积神经网络的手写英语单词识别

2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI:10.1109/ICFHR.2012.210

Aiquan Yuan, G. Bai, Po Yang, Yanni Guo, Xinting Zhao

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引用次数: 38

摘要

提出了一种基于分词和词典驱动的手写英语识别系统。在分割方面，采用了一种改进的基于规则的在线分割方法。然后，将卷积神经网络引入离线字符识别。在UNIPEN小写数据集上进行实验，单词识别率达到92.20%。

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Handwritten English Word Recognition Based on Convolutional Neural Networks

This paper presents a novel segmentation-based and lexicon-driven handwritten English recognition systems. For the segmentation, a modified online segmentation method based on rules are applied. Then, convolutional neural networks are introduced for offline character recognition. Experiments are evaluated on UNIPEN lowercase data sets, with the word recognition rate of 92.20%.

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2012 International Conference on Frontiers in Handwriting Recognition

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