计算机应用与软件Issue(9)：12-15,38,5.DOI:10.3969/j.issn.1000-386x.2013.09.004
主曲线在复杂指纹图像特征提取中的应用
APPLYING PRINCIPAL CURVES IN COMPLEX FINGERPRINT IMAGE FEATURE EXTRACTION
摘要
Abstract
In automated fingerprint recognition system , feature extraction is one of the key procedures .Principal curve has the property of self-consistency , can well depict the pattern feature and can effectively keep the structure information .Therefore , we choose the promoted polygonal principal curve algorithm and improve it to extract the principal curve of the fingerprint , and further implement on this basis the fingerprint extraction and pseudo feature inspection .Experimental results demonstrate that the algorithm in this paper can get better fingerprint skeleton in short time period , the accuracy rate of fingerprint feature extraction is higher as well .关键词
指纹识别/特征提取/主曲线/骨架提取/伪特征检测Key words
Fingerprint recognition/Feature extraction/Principal curve/Skeleton extraction/Pseudo feature inspection分类
信息技术与安全科学引用本文复制引用
高迎,张红云..主曲线在复杂指纹图像特征提取中的应用[J].计算机应用与软件,2013,(9):12-15,38,5.基金项目
国家自然科学基金项目（61075056，60703007）；北京自然科学基金项目（9123025，9122003）；首都经贸大学科研项目（2012XJG021）。 （）
