计算机工程与应用2016，Vol.52Issue(18)：179-182,207,5.DOI:10.3778/j.issn.1002-8331.1411-0366
以笔画为研究对象的笔迹伪动态特征提取方法
Method of handwriting spurious dynamic feature extraction based on strokes
摘要
Abstract
Concerning the problem that handwriting feature extraction in the past taking the whole character as the research object can not detect stable features under lower relevance of the text, this paper puts forward a method of handwriting spurious dynamic feature extraction based on strokes, getting rid of the bondage of the nexus of contracts dependence. The method introduces the thought of probability statistics, using grid window to detect the spurious dynamic feature of the strokes, such as the tendency and the width variation. The method uses weighted Euclidean distance, weighted chi-square distance and weighted Manhattan distance to calculate the similarity of the handwriting identification. In the database involving HIT-MW and HIT-SW, the method achieves the top-1 identification accuracy of 95.9%and the top-10 accuracy of 99.5%under higher relevance of the text, and the top-1 identification accuracy of 91.9%and the top-10 accuracy of 99.0% under lower relevance of the text. Experiments show that the method of handwriting spurious dynamic feature extraction based on strokes can obtain a good effect under lower relevance of the text.关键词
笔画/伪动态特征/概率统计/网格窗口/文本相关度Key words
strokes/spurious dynamic feature/probability statistics/grid window/text relevance分类
信息技术与安全科学引用本文复制引用
王民,孙向南,刘利,朱晓娟,曾宝莹..以笔画为研究对象的笔迹伪动态特征提取方法[J].计算机工程与应用,2016,52(18):179-182,207,5.基金项目
国家自然科学基金（No.61373112）；陕西省自然科学基金面上项目（No.2014JM8343）。 （）
