红外技术Issue(10)：827-831,5.
基于改进二值模式的图书文档图像分类
Document Image Classification Based on Improved Local Binary Patterns
摘要
Abstract
Based on the analysis of the methods to reduce the dimensions of the local binary pattern(LBP), a new operator called the orthogonal combination of local binary number(denoted as OC-LBN) is proposed for document image classification. Firstly, the local neighborhood is divided into different 4-orthogonal-neighbors, and the binary number of “1” in each 4-orthogonal-neighbor is used as its feature. Then, the features of all the 4-orthogonal-neighbor are combined together as region description. Experimental results obtained from texture, forward-Looking infrared and document image databases demonstrate that the proposed method can get the best performance of the methods mentioned in the paper.关键词
图像分类/局部二值模式/纹理分析/降维Key words
image classification/local binary pattern/texture analysis/dimensionality reduction分类
信息技术与安全科学引用本文复制引用
张敏..基于改进二值模式的图书文档图像分类[J].红外技术,2014,(10):827-831,5.基金项目
河南省国际合作项目，编号134300510057。 （）
