| 基于嵌入式GPU的汗孔识别算法并行设计 |
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| 引用本文： | 刘义鹏,曾宏翔,王海霞,杨熙丞,陈朋.基于嵌入式GPU的汗孔识别算法并行设计[J].传感器与微系统,2018(5):76-79. |
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| 作者姓名： | 刘义鹏 曾宏翔 王海霞 杨熙丞 陈朋 |
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| 作者单位： | 浙江工业大学信息工程学院,浙江杭州,310023 |
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| 基金项目： | 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) |
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| 摘 要： | 基于NVIDIA Jetson Tx2平台,结合OpenCV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.
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| 关 键 词： | 汗孔 指纹识别 NVIDIAJetsonTX2 计算统一设备架构 sweat pore fingerprint recognition NVIDIA Jetson TX2 compute unified device architecture (CUDA) |
Parallel design for sweat pore recognition algorithm based on embedded GPU |
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| LIU Yi-peng,ZENG Hong-xiang,WANG Hai-xia,YANG Xi-cheng,CHEN Peng.Parallel design for sweat pore recognition algorithm based on embedded GPU[J].Transducer and Microsystem Technology,2018(5):76-79. |
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| Authors: | LIU Yi-peng ZENG Hong-xiang WANG Hai-xia YANG Xi-cheng CHEN Peng |
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| Abstract: | 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. |
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