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基于粗糙集的手写体数字识别多分类器 被引量：1

Recognition of Handwritten Numerals by Using Multi-classifiers Based on Rough Sets
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摘要 提出了一种新的手写体数字识别方法。首先采用多分类器提取手写体数字的各类特征,以提高识别正确率;然后利用粗糙集对这些特征属性约简来提高识别速度。测试结果表明,该算法的提出是成功的。 A new method to recognize handwritten numerals is proposed. First, multi-classifiers is used to obtain some handwritten numerals＇ attributes to improve recognition accuracy. Then, by using rough set theory to reduce some attributes, it can improve the task＇s running time. Experiment results show that the new method is successful.
作者 宋丹
机构地区 湖南财经高等专科学校信息管理系
出处 《科学技术与工程》 2008年第10期2711-2713,2723,共4页 Science Technology and Engineering
关键词 手写体数字 多分类器 粗糙集 图像识别 handwritt.en digital multi-classifiers rough sets picture identification
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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共引文献11

同被引文献18

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科学技术与工程
2008年 第10期

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