掌纹特征提取算法综述  

Survey of Feature Extraction Algorithms in Palmprint Recognition

作　　者：张愉[1] 尚丽[1] 

机构地区：[1]苏州市职业大学电子信息工程系,江苏苏州215104

出　　处：《苏州市职业大学学报》2010年第3期7-12,共6页Journal of Suzhou Vocational University

基　　金：国家自然科学基金资助项目(60970058);江苏省自然科学基金资助项目(BK2009131)

摘　　要：掌纹特征的提取是掌纹识别中最关键的一个环节,特征提取算法的好坏很大程度上决定了系统的识别率和效率的高低.结合近年来发表的文献,按照分析和描述的方式对掌纹的特征提取方法进行了分类,并对主要特征提取算法进行了分析和特性比较,最后总结了掌纹多特征融合方法是未来掌纹特征提取方法进一步的研究方向.The extraction of palmprint features is the most crucial step in palmprint recognition. The recognition rate and efficiency of the system is heavily dependent on the choice of the feature extraction algorithm. Based on publications in recent years, the algorithms of palmprint feature extraction are classified according to the analysis and description methods. The mainstream algorithms are analyzed and compared. It is concluded that direction for further research. the multi-feature fusion method is the promising

关 键 词：掌纹识别 掌纹特征提取 多特征融合 综述 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]