基于在线掌纹的身份验证系统的研究与设计  

Research and Design of Online Identification Authentication with Palmprint

作　　者：陈晓莉[1] 戴建国[1] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《南京工业职业技术学院学报》2006年第4期39-42,共4页Journal of Nanjing Institute of Industry Technology

摘　　要：采用基于掌纹图像灰度特性的方法提取出掌纹的主线特征,以极坐标的形式定义在线掌纹的特征空间并降维处理,最后用神经网络作为匹配算法完成在线掌纹身份验证系统的设计,以此为基础建立了快速、可靠的新型身份认证系统。The paper abstracts out the palmprint mainline characteristic owing to palmprint image gradation by the gray value characteristic property method, defining the online palmprint characteristic space with the form of the polar coordinate and compressing the dimension, at last we use the neural network to accomplish the design of identification authentication system with the on-line palmprint as the mating algorithm. Based on this, a fast and reliable system of identification authentication can be built.

关 键 词：掌纹识别 主线特征 RBF神经网络 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]