摘要
掌纹识别技术是生物特征识别领域的又一新兴技术,在网络安全、身份鉴别等方面有广阔的应用前景。将主成分分析法应用于掌纹图像的特征提取,阐释了传统主成分分析与加权主成分分析在处理掌纹图像时的差异,并在不同数据库上对两种方法进行了实验,结果表明传统主成分分析比加权主成分分析有更高的识别率以及加权主成分分析能够削弱光照对识别结果的影响。
The palmprint recognition is a new biometric technology, which has a good prospect of applications in the areas of network security, identity authentication etc.In this paper, the principal component analysis method is applied to palmprint image feature extraction, and the differences between the traditional principal component analysis（PCA） and the weighted principal component analysis（WPCA） in addressing the palmprint image are explained.According to the experimental results of two methods on two databases, PCA has a higher precision of palmprint recognition than WPCA, and the affection of light condition is weakened by WPCA.
出处
《计算机系统应用》
2010年第9期187-190,共4页
Computer Systems & Applications
基金
国家自然科学基金(60743007)
山东省教育厅自然科学基金(J07WJ16)
