现代电子技术2011，Vol.34Issue(7)：150-154,5.
基于条件随机场的复杂背景图像文字分割
Text Image Segmentation in Complex Background Using Conditional Random Fields
摘要
Abstract
A key problem in text image analysis is to extract text accurately from image data. The text segmcntation is solved efficiently by conditional random fields(CRFs). The underlying idea is that of defining a conditional probability distribution over label sequence in a situation of a given particular observation sequence, by which a joint distribution over both label and observation sequence is avoided. Features arc selected delibcrately and classifier is well designed according to Bayes rules and Markov properties. After the parameter training process, the testing results demonstrate that the performance of CRFs is better than other methods.关键词
文字图像分割/条件随机场/分类器设计/参数训练分类
信息技术与安全科学引用本文复制引用
王佳鑫,卫保国..基于条件随机场的复杂背景图像文字分割[J].现代电子技术,2011,34(7):150-154,5.基金项目
国家自然科学基金(60736007) （60736007）
陕西省自然科学基金(2007F22) （2007F22）
