基于àtrous-Contourlet变换与不变矩的掌纹匹配算法  

Palmprint matching algorithm based on àtrous-Contourlet transform and invariant moments

作　　者：李艳[1] 吴贵芳[1] 李继杰[1] 戴高乐[1] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471003

出　　处：《计算机应用》2010年第4期956-959,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(50074010)

摘　　要：为了提高掌纹识别的速度和准确率,克服Contourlet变换在处理高维信号时的不足,提出了一种新的掌纹识别算法。该算法首先对掌纹图像进行àtrous-Contourlet变换,得到高频分量和不同方向不同子带上的低频分量,再根据不同子带的能量分布所提取出的统计特征选择不同的特征加权系数,对图像所得到的不变矩向量进行加权计算,得到新的特征向量,完成掌纹图像的识别。实验结果表明,该算法与小波矩算法、Hu不变矩算法和Contourlet算法相比有较高的效率和匹配精度。In order to improve the speed and accuracy of palmprint identification system and overcome the weakness of Contourlet transform in dealing with high-dimensional signals,a novel identification algorithm of palmprint feature was proposed.Firstly,the àtrous-Contourlet transformation for palmprint image was decomposed to obtain high frequency coefficients and low frequency coefficients in the different sub-band of different direction.Then,different feature weighting coefficients according to the statistical characteristics extracted from different frequency domains were chosen,which were calculated to get some new invariant moments vectors.Finally,the palmprint identification was achieved.The experimental results show that the method here is more effective in matching than wavelet moment algorithm,Hu＇s invariant moment algorithm and Contourlet algorithm.

关 键 词：生物识别 àtrous-Contourlet变换 不变矩 特征提取 统计特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]