摘要
为了有效提高刑侦过程中采集到的指横纹匹配的准确率和效率,提出一种基于修正不变矩和小波多分辨率分析的指横纹特征提取和匹配算法。该方法在一次识别阶段,为克服比例因子和旋转角度对矩的影响,提出最小矩形的求矩区域修正方法并对由Radon投影得到的不变矩特征矩阵进行初等行变换确定旋转角度,从而建立候选图像集合。在二次识别阶段,利用小波多分辨率分析对候选图像集合的确定角度Radon投影进行分析,再由得到的加权不变矩特征向量进行最高相似度匹配。实验结果表明,该方法较传统方法有更好的识别率。
In order to improve the accuracy and efficiency on the procedure of criminal investigation, a new criminal investi-gation evident named knuckleprint is adopted. A new matching algorithm of knuckleprint based on moment invariants and wavelet multi-resolution analysis is presented in this paper. In the first recognition stage, in order to overcome the defects caused by scale factor and rotation angle to get the set of candidate images, the algorithm not only proposes an idea of minimal rectangle to modify the calculation region of moment invariants but also adopts the elementary row transforma-tion to transform the character matrix of radon projection. In the second recognition stage, the wavelet multi-resolution analysis is adopted to analyze the certain angle projection of candidate images set. The weighted character of moment invariants is calculated to get the similarity. Experimental result shows that this algorithm is more efficient than traditional algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第20期172-177,共6页
Computer Engineering and Applications
基金
南宁市城市应急联动指挥系统升级项目(No.NNZC2010-1441A)
南宁市城市公共安全与社会综合服务系统人才小高地项目(No.2011020)
关键词
指横纹
不变矩
小波分析
多分辨率分析
Radon投影
knuckleprint
moment invariants
wavelet analysis
multi-resolution analysis
Radon projection
