计算机工程2013，Vol.39Issue(1)：239-243,5.DOI:10.3969/j.issn.1000-3428.2013.01.052
改进SIFT算法在文字图像匹配中的应用
Application of Improved SIFT Algorithm in Text Image Matching
摘要
Abstract
Due to the particularity of the text images, using the Scale Invariant Feature Transform(SIFT) algorithm to extract can not get enough feature points. Otherwise, strong inferences between different words lead the dad matching result. Aiming at this problem, this paper makes a research on the SIFT algorithm and proposes an improved SIFT algorithm for text images template matching. The improved algorithm uses three methods to improve the efficiency, such as to use threshold images instead of gray ones. It increases the number of feature points and cancels the rotational invariance. Experimental result shows that the improved algorithm can effectively improve the accuracy of the text template matching than standard SIFT algorithm.关键词
文字图像/模板匹配/尺度不变特征变换算法/极值点/特征向量/特征提取Key words
text image/ template matching/ Scale Invariant Feature Transform(SIFT) algorithm/ extreme point/ feature vector/ feature extraction分类
信息技术与安全科学引用本文复制引用
胡海青,谭建龙,朱亚涛,龚国成,刘金刚..改进SIFT算法在文字图像匹配中的应用[J].计算机工程,2013,39(1):239-243,5.基金项目
国家"863"计划基金资助项目(2011AA010705) （2011AA010705）
国家自然科学基金资助项目(61003295) （61003295）
