摘要
个人身份认证和鉴别在现在社会显示着重要的作用,作为一种准确而可靠的个人鉴定方式,生物识别已经引起了广泛的注意。掌纹作为一种相对较新的生物识别技术也有着独特的优点。而掌纹特征的提取和选择是整个识别中最关键的一个环节,主要利用ICA(独立主成分分析)方法对掌纹进行特征提取,实验证明,相比较PCA(主成分分析)方法,基于ICA方法具有更高的识别效率。
Personal identification and verification both play a critical role in our society, as one of the most powerful and reliable means of personal authentication, biometrics has been an area of particular interest. As a comparatively new biometric, palmprint has a number of unique advantages o However, it is the most pivotal process in the course of recognition to extract and select the palmprint＇s feature. A new extraction approach to online palmprint using ICA （independent component analysis） technology is presented. The experiments show that ICA-based method achieve more effective personal recognition In contrast to PCA （principal component analysis） technology.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第18期3433-3435,共3页
Computer Engineering and Design
