摘要
基于NVIDIA Jetson Tx2平台,结合Open CV计算机视觉库与计算统一设备架构(CUDA)程序设计,对汗孔特征提取与匹配算法实现了并行设计。实验结果表明:并行设计算法能够实现最多180倍的加速,推动指纹匹配算法在嵌入式系统领域的应用。
Parallel design of extraction of sweat pore characteristics and matching algorithm is implemented by combining OpenCV computer vision library with compute unified device architecture （CUDA） program design based on NVIDIA Jetson Tx2 platform. Experimental results show that parallel design algorithm can achieve speed up to at most 180 times faster,propel application of fingerprint matching algorithm in embedded systems.
作者
刘义鹏
曾宏翔
王海霞
杨熙丞
陈朋
LIU Yi-peng;ZENG Hong-xiang;WANG Hai-xia;YANG Xi-cheng;CHEN Peng(College of Information Engineering, Zhejiang University of Technology,Hangzhon 310023, China)
出处
《传感器与微系统》
CSCD
2018年第5期76-79,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61502426
61527808)
浙江省自然科学基金资助项目(LQ15F020009)
