[1]岳建杰,赵旦峰.基于K-means的图像文字识别与提取研究[J].应用科技,2015,42(02):17-20.[doi:10.3969/j.issn.1009-671X.201406014]
 YUE Jianjie,ZHAO Danfeng.Research on the recognition and extraction of image characters based on K-means[J].yykj,2015,42(02):17-20.[doi:10.3969/j.issn.1009-671X.201406014]
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基于K-means的图像文字识别与提取研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第42卷
期数:
2015年02期
页码:
17-20
栏目:
自动化技术
出版日期:
2015-05-05

文章信息/Info

Title:
Research on the recognition and extraction of image characters based on K-means
作者:
岳建杰 赵旦峰
哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001
Author(s):
YUE Jianjie ZHAO Danfeng
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
K-means图像文字提取文字识别二值化处理
Keywords:
K-meansextraction of image textcharacter recognitionbinarization
分类号:
TN971.1
DOI:
10.3969/j.issn.1009-671X.201406014
文献标志码:
A
摘要:
针对当前图像文字识别与提取的最新发展状况,提出一种基于K-means的图像文字识别与提取算法,其主要处理步骤包括图像的预处理、像素点聚类处理、图层的选择与优化以及最终的文字切分等。经过上机对算法进行测试,该算法能够有效提高图像文字识别与提取的准确率与执行效率,并可以针对不同环境下的图片文字进行有效识别。
Abstract:
Based on the latest developments in the recognition and extraction of image characters, this paper proposes a K-means-based algorithm for the recognition and extraction of image text. Its main processing steps include image preprocessing, pixel clustering process, selection and optimization of the layer and the final text segmentation. By computer testing, it was found that the algorithm can effectively improve the accuracy and efficiency of recognition and extraction of image characters. In addition, it can effectively identify image characters under different environments.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2014-6-19;改回日期:。
基金项目:黑龙江省科技攻关计划资助项目(GC12A305).
作者简介:岳建杰(1986-),男,硕士研究生;赵旦峰(1961-),男,教授,博士生导师.
通讯作者:岳建杰,E-mail:348274742@qq.com.
更新日期/Last Update: 2015-06-16