生物特征信息激光采集器设计

Biometric information laser collector design

传统信息采集方法对生物特征的特征采集时间过长、采集过程中存在误差以及对生物特征采集准确性过差等问题,设计了一种用于生物特征信息的激光采集器。引入灰度特征联合识别技术对生物特征信息进行激光扫描,构建生物特征图像的激光成像模型;采用多姿态的纹理自动分割方法对生物特征激光图像进行分形处理,根据区域分形结果进行生物信息图像的特征优化和特征融合处理;构建生物特征信息的大数据特征模型;在大数据融合跟踪场景下对生物特征进行特征扫描与纹理分析,实现生物特征信息激光扫描优化;结合VXI-MXI总线控制技术对生物特征信息激光采集器设计,给出激光采集器的实物图;以虹膜特征采集为例,对其采集效率与采集准确性进行验证。实验表明,采用该装置对生物特征信息进行激光扫描的耗时较短,激光采集效率高,准确性好,能够对复杂生物特征进行采集。

The traditional information collection method has long time cost,error existence and poor accuracy problems of biometric feature acquisition time. A laser collector of biometric information is designed in this paper. The gray feature joint recognition technology is used to laser scan the biometric information,and the laser imaging model of the biometric image is constructed. The multi-image texture automatic segmentation method is used to fractal the bio- metric laser image,and feature optimization and feature fusion of the bio-information image are carried out based on regional fractal results. The big data feature model of biometric information is constructed. Feature scanning and texture analysis of biometric information under big data fusion tracking scene are carried out to realize laser scanning optimiza- tion of biometric information. Combined with VXI-MXI bus control technology,the biometric information laser collector is designed,which gives the physical map of the laser collector. Taking the iris feature acquisition as an example,the collection efficiency and acquisition accuracy are verified. Experiments show that the laser scanning of biometric infor- mation is shorter,the laser collection efficiency is high,the accuracy is good,and complex biometric features can be collected.