基于激光测距法的智能虹膜识别系统设计
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摘要
针对传统虹膜识别系统计算复杂、实时性差等问题,设计了一种激光测距法的智能虹膜识别系统。在Gabor滤波图像的基础上,利用分块图像的幅值均值和相位信息来提取虹膜特征量,并结合k-近邻算法来完成虹膜识别功能,减小识别时间并提高识别准确度;同时,针对红外相机在日夜转换时因可见光与红外光波长不同导致的虚焦、画面模糊现象,采用激光测距法自动对焦,实现低成本、快速、精确的人眼图像预处理。本设计将识别结果通过WiFi发送至云端服务器,减少了布线。经测试,该系统运行稳定、识别速度快,已应用于某安防系统。
In view of the traditional iris recognition system with complex computational problems and poor real-time performance,based on Gabor filtering on image to extract iris feature using amplitude and phase information of the mean image blocks,and combined with k-nearest neighbor algorithm,an iris recognition function is designed. It can reduce the recognition time and improve the recognition accuracy,simultaneously. Aiming at the phenomenon of imaginary focus and blurred picture caused by the different wavelengths of visible light and infrared light in the day and night conversion of infrared camera,the system applies laser ranging method to realize auto focus such that the human eye image can be preprocessed easily,rapidly and accurately. The design uses WiFi to send the recognition results to the cloud server in order to reduce the wiring. After testing,the system runs stably and has fast recognition speed. It has been applied to a security system.
In view of the traditional iris recognition system with complex computational problems and poor real-time performance,based on Gabor filtering on image to extract iris feature using amplitude and phase information of the mean image blocks,and combined with k-nearest neighbor algorithm,an iris recognition function is designed. It can reduce the recognition time and improve the recognition accuracy,simultaneously. Aiming at the phenomenon of imaginary focus and blurred picture caused by the different wavelengths of visible light and infrared light in the day and night conversion of infrared camera,the system applies laser ranging method to realize auto focus such that the human eye image can be preprocessed easily,rapidly and accurately. The design uses WiFi to send the recognition results to the cloud server in order to reduce the wiring. After testing,the system runs stably and has fast recognition speed. It has been applied to a security system.
引文
[1]许威.虹膜识别算法的改进与实现[D].合肥:安徽理工大学,2013.
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[3] Jain A K,Lin Hong,Bolle R. On-line fingerprint verification[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(4):302-313.
[4] Boles W,Boashash B. A human identification technique using images of the iris and wavelet transform[J]. IEEE Transactions on Signal Processing,1998,46(4):1185-1188.
[5]郭宁博,陈向宁,薛俊诗.基于飞行时间法的红外相机研究综述[J].兵器装备工程学报,2017,38(3):152-159.
[6]徐小平.激光可视对焦法在汽车制造中的应用[J].上海汽车,2016(9):38-42.
[7]汪思敏,刘畅. TMS320C6000 DSP应用开发教程[M].北京:机械工业出版社,2005.
[8]李海青,孙哲南,谭铁牛,等.虹膜识别技术进展与趋势[J].信息安全研究,2016,2(1):40-43.
[9]何飞.基于Gabor滤波的虹膜多特征提取及融合识别方法研究[D].长春:吉林大学,2015.
[10]周治平,吴会军.结合小波变换和Log-Gabor滤波的虹膜识别方法[J].计算机应用,2009,29(8):2095-2097.
[11]苑玮琦,刘博.基于空域与频域稳定特征融合的离焦虹膜识别[J].仪器仪表学报,2013,34(10):2300-2308.
[12]刘小宁,陈晓冬,郁道银.基于DSP的运动目标识别与跟踪系统的设计[J].电视技术,2010,34(11):107-110.
[13]何明山,罗卫东,陈启新,等.基于DSP虹膜识别防疲劳驾驶报警系统的研究[J].中国安全生产科学技术,2016,12(1):127-131.
[14]肖磊.基于激光三角测距法的自动对焦系统研发[D].广州:广东工业大学,2011.
[15]曾磊,张海峰,侯维岩.基于Wi Fi的无线测控系统设计与实现[J].电测与仪表,2011,48(7):81-83+96.
[2] Wayman J L. Fundamentals of biometric authentication technologies[J]. International Journal of Image and Graphics,2001,1(1):93-113.
[3] Jain A K,Lin Hong,Bolle R. On-line fingerprint verification[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(4):302-313.
[4] Boles W,Boashash B. A human identification technique using images of the iris and wavelet transform[J]. IEEE Transactions on Signal Processing,1998,46(4):1185-1188.
[5]郭宁博,陈向宁,薛俊诗.基于飞行时间法的红外相机研究综述[J].兵器装备工程学报,2017,38(3):152-159.
[6]徐小平.激光可视对焦法在汽车制造中的应用[J].上海汽车,2016(9):38-42.
[7]汪思敏,刘畅. TMS320C6000 DSP应用开发教程[M].北京:机械工业出版社,2005.
[8]李海青,孙哲南,谭铁牛,等.虹膜识别技术进展与趋势[J].信息安全研究,2016,2(1):40-43.
[9]何飞.基于Gabor滤波的虹膜多特征提取及融合识别方法研究[D].长春:吉林大学,2015.
[10]周治平,吴会军.结合小波变换和Log-Gabor滤波的虹膜识别方法[J].计算机应用,2009,29(8):2095-2097.
[11]苑玮琦,刘博.基于空域与频域稳定特征融合的离焦虹膜识别[J].仪器仪表学报,2013,34(10):2300-2308.
[12]刘小宁,陈晓冬,郁道银.基于DSP的运动目标识别与跟踪系统的设计[J].电视技术,2010,34(11):107-110.
[13]何明山,罗卫东,陈启新,等.基于DSP虹膜识别防疲劳驾驶报警系统的研究[J].中国安全生产科学技术,2016,12(1):127-131.
[14]肖磊.基于激光三角测距法的自动对焦系统研发[D].广州:广东工业大学,2011.
[15]曾磊,张海峰,侯维岩.基于Wi Fi的无线测控系统设计与实现[J].电测与仪表,2011,48(7):81-83+96.