摘要
设计了一种新的适用于安防、考勤等场合的非接触式手部三模态图像采集系统,解决了传统采集系统易传染疾病和单一模态图像变形模糊导致识别率下降的问题。分析手掌静脉、掌纹及掌形成像原理,设计选择可在多光谱条件下采集的双CCD图像传感器和镜头,并分析设计了系统补光系统、区域定位功能和上位机界面。可一次拍摄同时获取高质量的手掌静脉、掌纹及掌形特征图像,并可融合三模态特征识别算法进行在线识别,具有良好的人机交互界面,实用性强。
A new non-contact hand three-modal image acquisition system,which is suitable for security,check work attendance is designed.It solves the problems of sensing diseases and the low-recognition rate.According to the characteristics,the image sensor and lens which can obtain images under multispectral are designed and selected,and light system,regional location function and upper PC interface are designed and analyzed.The system can obtain high quality image of palm vein,palm print and palm-shape feature.It can execute online recognition fusing algorithm of three-modal feature recognition and has good man-machine interface.It has strong practicability.
出处
《传感器与微系统》
CSCD
北大核心
2013年第5期78-81,85,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60972123)
教育部高等学校博士学科点专项科研基金资助项目(20092102110002)
辽宁省教育厅科研项目(2009A561)
沈阳市科技计划资助项目(F12-277-1-10
F10-213-1-00)
关键词
三模态图像
采集系统
图像传感器
光源
融合
three-modal image
acquisition system
image sensor
lighting source
fusion
