[1]朱宗晓 吴显礼.脱机印刷体彝族文字识别系统的原理与实现[J].计算机技术与发展,2012,(02):85-88.
　ZHU Zong-xiao,WU Xian-li.Principles and Implementation of an Off-Line Printed Yi Character Recognition System[J].,2012,(02):85-88.
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脱机印刷体彝族文字识别系统的原理与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年02期
页码:
85-88
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Principles and Implementation of an Off-Line Printed Yi Character Recognition System
文章编号:
1673-629X（2012）02-0085-04
作者:
朱宗晓1 吴显礼1; 2
[1]中南民族大学计算机科学学院少数民族语言文字信息处理实验室[2]中科院自动化所
Author(s):
ZHU Zong-xiao; WU Xian-li
[1]Information Processing Lab for Minority Language,College of Computer Science,South-Central University for Nationalities[2]Institute of Automation,Chinese Academy of Science
关键词:
彝文识别; 字符分割; 周边方向贡献度; 特征压缩; 字典匹配
Keywords:
Yi character recognition;  character segmentation;  peripheral direction contribution;  feature compressing;  dictionary-matching
分类号:
TP391
文献标志码:
A
摘要:
脱机印刷体彝文文字识别系统包括字符分割、特征提取、特征压缩以及字典匹配四个主要模块,该系统利用总结出的彝文字符合并和反合并规则提高了字符分割准确率,采用1024维周边方向贡献度作为彝文字符统计特征,对彝文中存在的大量相似字符具有良好的区分能力。系统还采用基于KL变换的特征压缩算法和三级字典快速匹配算法,最终实现了一个基于Windows平台的脱机印刷体彝文识别平台,该平台对样本的一次识别率在99.4%以上。实验结果表明这些方法是可行的和高效的
Abstract:
The off-line printed Yi character recognition system consists of four main modules,including character segmentation,feature extraction,feature compressing and dictionary matching.In this system,Yi characters＇ merger rules and anti-merger rules are summarized to increase the accuracy of character segmentation;1024 dimensional features of peripheral direction contribution are used as statiscal characteristics of Yi character with good discrimination between a large numbers of Yi similar characters.Feature compressing algorithm based on Karhunen-Loève transformation and three-level dictionary-matching algorithm is also adopted to realize an off-line printed Yi character recognition system based on Windows.Its first recognition rates of samples are above 99.4%,which proved that all arithmetic used in this system are feasible and efficient

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备注/Memo

备注/Memo:
国家自然科学基金面上项目（60975021）; 中南民族大学中央高校基本科研业务费专项资金项目（ZZY10007）;中南民族大学自然科学基金项目（YZY07001）朱宗晓（1978-），男，湖北武汉人，讲师，博士研究生，CCF会员，主要研究方向为模式识别、图像处理、少数民族文字信息处理；吴显礼，教授，主要研究方向为模式识别、图像处理、少数民族文字信息处理
更新日期/Last Update: 1900-01-01