摘要
为了提高传统生物识别系统的可靠性和易接受性,设计了一款非接触式多模态手成像采集系统。该系统可以在自然光条件下,在被采集者手掌不接触采集设备的情况下,同时获取被测者的掌纹、掌形和掌静脉3种特征信息。为提高系统的识别准确率,着重研究采集装置中的光学成像部分,其中主要包括滤光片的选取、图像传感器的配置、镜头的参数计算以及双路图像传感器与主处理器(DSP)视频口的硬件连接。同时,该系统还具有实时显示、网络传输和语音播报等功能。
In order to improve the reliability and the acceptability of traditional biological recognition system , this paper designs a noncontact multi-modal hand image acquisition system . Under the conditions of natural light , the system simultaneous achieves collector′s palm print , palm-shape and palm vein information even without collector′s palm contacting acquisition device . To make system′s recognition more accurate , the paper focuses on the optical imaging part in the study of acquisition device , including filter selection , image sensor configuration , lens parameter selection and the connection between dual image sensor and DSP video port . In addition , the system also has various functions such as real-time display , network transmission and voice broadcast .
出处
《微型机与应用》
2014年第6期26-29,共4页
Microcomputer & Its Applications
基金
国家自然科学基金(60972123)
教育部高等学校博士学科点专项科研基金(20092102110002)
沈阳市科技计划项目(F12-277-1-10
F10-213-1-00)
