计算机工程与应用2018，Vol.54Issue(7)：170-175,6.DOI:10.3778/j.issn.1002-8331.1706-0291
基于字符图像分割的打印文件识别方法
Recognition of print file based on character image segmentation
摘要
Abstract
Aiming at the problem that the current image recognition method is limited to the same characters in the sample, this paper presents a method of recognizing the document based on character image segmentation.The k-means algorithm is used to segment the character images, and the local binary pattern texture features are extracted for different regions, thus eliminating the influence of the character structure on the recognition results.To study the recognition of single region feature set and combination feature set, the results show that the proposed method can obtain high recognition accuracy without same characters in the sample.关键词
打印文件识别/字符结构/图像分割/k-means算法/局部二值模式Key words
print file recognition/character structure/image segmentation/k-means algorithm/Local Binary Pattern(LBP)分类
信息技术与安全科学引用本文复制引用
陈庆虎,周小丹,鄢煜尘..基于字符图像分割的打印文件识别方法[J].计算机工程与应用,2018,54(7):170-175,6.基金项目
公安部重大项目(No.2014JSYJA017). （No.2014JSYJA017）
