融合PSA与LDA算法的挤压状态下耳纹识别方法

Integration of PSA and LDA Algorithm under the Squeezed State of Ear Grain Recognition Method

为了提高警察破案过程中耳纹识别的准确度,克服传统算法针对挤压耳纹形变的高维度干扰,提出了一种挤压状态下耳纹识别的报警方法.在传统算法的基础上,利用计算机视觉耳纹图像标准差和局部均值处理对耳纹图像灰度值进行处理,融合PSA算法与LDA算法,对挤压状态下识别耳纹图形向量进行非线性降维处理,产生具有较强判断能力的挤压状态下耳纹识别分类器,完成高精度误别.仿真结果表明:该算法有效降低了挤压等外界因素对耳纹识别技术的影响,提高了识别的准确度.

In order to improve the police investigation process middle ear grain recognition accuracy, overcome traditional algorithm in view of the high dimension extrusion ear grain deformation, this paper proposes a ear grain extrusion condition recognition method of alarm. On the basis of the traditional algorithm, the use of computer vision ear grain local mean standard deviation and image processing to deal with the ear grain image grey value, the fusion algorithm of PSA and LDA algorithm, ear grain pattern vector of extrusion condition recognition nonlinear dimension reduction processing, has a strong ability to judge the ear grain extrusion condition recognition classifier, finish high precision don＇t by mistake. The simulation results show that the algorithm effectively reduces the external factors such as extrusion effect on ear pattern recognition technology, improve the identification accuracy.