桂林电子科技大学学报2017，Vol.37Issue(6)：431-436,6.
基于判别相关分析法的手指多模态融合身份识别方法
A finger multi-modal fusion identification method based on discriminant correlation analysis
摘要
Abstract
The finger-based biometrics authentication technology based on single mode is inevitably limited by data noise,in-tra-class difference,similarity between classes and low security,a multi-modal fusion recognition method based on discrimi-nant correlation analysis is proposed.With finger vein as the research object,combined with the features of finger texture, the generalized discriminant analysis method is used to reduce the dimension,and discriminant correlation analysis is adopted for fusing two modal features after dimension reduction,and the identity authentication of finger multi-modal biometrics based on feature layer fusion is realized.This method realizes the fusion of finger vein and finger dorsal texture,which im-proves the accuracy of identity authentication and the further development of finger multi-modal biometric authentication compared with the traditional nuclear linear analysis and typical correlation analysis method.关键词
指静脉/多模态/降维/判别相关分析Key words
finger vein/multi-modal/dimensionality reduction/discriminant correlation analysis分类
信息技术与安全科学引用本文复制引用
胡锦丽,杨辉华,刘振丙..基于判别相关分析法的手指多模态融合身份识别方法[J].桂林电子科技大学学报,2017,37(6):431-436,6.基金项目
国家自然科学基金(21365008,61562013) （21365008,61562013）
广西重点研发计划项目(桂科 AB16380293) （桂科 AB16380293）
