摘要
利用手掌的几何轮廓对掌纹图像进行预处理,分割得到感兴趣区域(ROI).基于不同的小波基函数,对掌纹图像分别进行多层小波变换,进而提取不同小波下的能量特征.通过计算不同基函数、不同层次下小波能量特征的识别率,得出不同小波基识别能力的强弱.实验表明,与以往算法相比,本方法具有较好的识别效果.
The palmprint image is preprocessed and divided the region of interesting（ROI）by the geometric profile of a palm.Then,basing on different wavelet basis functions,the ROI is transformed by the multilayer wavelet transformation respectively,and these different wavelet energy features are extracted later.The recognition ability of different wavelet basis functions is obtained by calculating the recognition rate under different wavelet basis functions and different levels of transformation.Comparing with previous algorithms,the experimental results show that this method has better recognition effect.
出处
《郑州轻工业学院学报（自然科学版）》
CAS
2011年第3期29-32,共4页
Journal of Zhengzhou University of Light Industry:Natural Science
基金
郑州市科学基金项目(C2009SP0009)
河南省信息化电器重点实验室基金项目(IEA2009-0206)
郑州轻工业学院博士基金项目
关键词
掌纹识别
小波基函数
多层小波变换
能量特征
palmprint identification
wavelet basis function
multilayer wavelet transformation
energy feature
