计算机工程与应用2017，Vol.53Issue(4)：200-204,208,6.DOI:10.3778/j.issn.1002-8331.1506-0160
基于Adaboost算法的场景中文文本定位
Chinese text localization based on Adaboost algorithm in natural images
摘要
Abstract
A novel Chinese text localization method based on Adaboost in natural images is proposed in this paper. Firstly, the text regions are detected using the edge feature, where digital image is processed by edge extraction and binarization, then connected domain analysis is used to remove non-text regions and get candidate text regions. Secondly, a strong clas-sifier of Adaboost with CART(Classification And Regression Tree)is constructed by using the four classes Chinese text features that are extracted by analyzing the text areas. Finally, the correct text areas are got after the candidate regions are send into the strong classifier. The experimental results show that not only can this method achieve a good effect on the text location in the natural images including the images with text of various fonts, sizes and colors but also realize high recall rate and precision rate.关键词
文本定位/文本识别/连通域/分类与回归决策树Key words
text location/text recognition/connected domain/classification and regression tree分类
信息技术与安全科学引用本文复制引用
尹芳,郑亮,陈田田..基于Adaboost算法的场景中文文本定位[J].计算机工程与应用,2017,53(4):200-204,208,6.基金项目
黑龙江省教育厅科学技术研究项目(No.12541119). （No.12541119）
