基于优化纹理特征的手背静脉识别系统
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摘要
为了有效提取手背静脉纹理特征,并对其进行识别匹配,提出了一种基于优化Gabor核纹理特征的手背静脉识别系统。首先,设计了一套手背静脉采集装置采集静脉图像。然后,对采集到的手背静脉图像预处理后进行三层Haar小波分解,再使用不同尺度和方向的Gabor核提取低频子带图像的纹理特征,之后使用主成分分析(PCA)法对纹理特征进行降维。最后,采用基于欧式距离的最近邻分类器进行识别。本文通过采集装置建立了具有较高质量的吉林大学手背静脉图像数据库,并在其上对本系统进行了性能测试。整体实验结果表明:该手背静脉识别系统能有效提高特征的识别速度,同时可达到98.5%的识别准确率,具有一定的应用前景。
In order to extract and match the texture features of dorsal hand vein,this paper presents a dorsal hand vein recognition system based on optimized texture features.First,we design a image acquisition device to collect vein images.Then,after image preprocessing and three-layer haar wavelet decomposition,we use different scales and directions of gabor kernel function to extract texture features of low-frequency sub-band images.Finally,PCA is used to reduce the dimensionality of features and the nearest neighbor classifier based on Euclidean distance is used to match the features.In this paper,a dorsal hand vein database of Jilin University is established.The experimental results show that the proposed recognition system can effectively improve the identification speed of featuresand the recognition rate can reach 98.5%.Good efforts on recognition accuracy and efficiency are achieved by the system.
In order to extract and match the texture features of dorsal hand vein,this paper presents a dorsal hand vein recognition system based on optimized texture features.First,we design a image acquisition device to collect vein images.Then,after image preprocessing and three-layer haar wavelet decomposition,we use different scales and directions of gabor kernel function to extract texture features of low-frequency sub-band images.Finally,PCA is used to reduce the dimensionality of features and the nearest neighbor classifier based on Euclidean distance is used to match the features.In this paper,a dorsal hand vein database of Jilin University is established.The experimental results show that the proposed recognition system can effectively improve the identification speed of featuresand the recognition rate can reach 98.5%.Good efforts on recognition accuracy and efficiency are achieved by the system.
引文
[1]王贺,邓茂云,姜守坤,等.改进的双边二维线性判别分析的手背静脉识别[J].吉林大学学报:信息科学版,2017,35(1):32-36.Wang He,Deng Mao-yun,Jiang Shou-kun,et al.Modified bilateral two-dimensional linear discriminant analysis for dorsal-hand vein recognition[J].Journal of Jilin University(Information Science Edition),2017,35(1):32-36.
[2]林喜荣,庄波,苏晓生,等.人体手背血管图像的特征提取及匹配[J].清华大学学报:自然科学版,2003,43(2):164-167.Lin Xi-rong,Zhuang Bo,Su Xiao-sheng,et al.Measurement and matching of human vein pattern characteristics[J].Journal of Tsinghua University(Science and Technology),2003,43(2):164-167.
[3]薛定宇,贾旭,崔建江,等.基于区域形状的静脉图像特征提取与匹配[J].东北大学学报:自然科学版,2012,33(1):35-38,64.Xue Ding-yu,Jia Xu,Cui Jian-jiang,et al.Vein image feature extraction and matching based on regional shapes[J].Journal of Northeastern University(Natural Science),2012,33(1):35-38,64.
[4]Wang Y,Liu T,Jiang J.A multi-resolution wavelet algorithm for hand vein pattern recognition[J].Chinese Optics Letters,2008,6(9):657-660.
[5]吕岑,程诚,赵东霞.基于小波分解和K2DPCA-2DLDA的手背静脉识别[J].计算机应用,2011,31(2):423-425.Lv Cen,Cheng Cheng,Zhao Dong-xia.Dorsal hand vein recognition based on wavelet decomposition and K2DPCA-2DLDA[J].Journal of Computer Applications,2011,31(2):423-425.
[6]林森,吴微,苑玮琦.基于局部纹理描述算子的手掌静脉身份识别[J].仪器仪表学报,2014,35(10):2306-2312.Lin Sen,Wu Wei,Yuan Wei-qi.Palm vein identity recognition based on local texture description operator[J].Chinese Journal of Scientific Instrument,2014,35(10):2306-2312.
[7]刘铁根,王云新,李秀艳,等.基于手背静脉的生物特征识别系统[J].光学学报,2009,29(12):3339-3343.Liu Tie-gen,Wang Yun-xin,Li Xiu-yan,et al.Biometric recognition system based on hand vein pattern[J].Acta Optica Sinica,2009,29(12):3339-3343.
[8]Trabelsi R B,Masmoudi A D,Masmoudi D S.A novel biometric system based hand vein recognition[J].Journal of Testing and Evaluation,2014,42(4):809-818.
[9]王云新.基于手背静脉与虹膜的生物特征识别方法研究[D]:天津:天津大学精密仪器与光电子工程学院,2009.Wang Yun-xin.Research on biometric recognition method based on hand vein and iris[D]:Tianjin:School of Precision Instruments and Optoelectronics Engineering,Tianjin Unversity,2009.
[10]Wang R,Wang G,Chen Z,et al.A palm vein identification system based on Gabor wavelet features[J].Neural Computing&Applications,2014,24(1):161-168.
[11]Han Tuo,Wang Zhi-yong,Yang Xiao-ping.Dorsal hand vein recognition based on Gabor multi-orientation fusion and multi-scale HOG features[C]∥Optics in Health Care and Biomedical Optics VII,Beijing,China,2016:1002438.
[12]王一丁,姜楠,李克峰.一种基于双PCA的动态空间手背静脉图像合成方法[J].计算机研究与发展,2014,51(10):2302-2307.Wang Yi-ding,Jiang Nan,Li Ke-feng.Dynamic spatial synthesis of dorsal hand vein images based on PCA[J].Journal of Computer Research and Development,2014,51(10):2302-2307.
[13]杨文文,毛建旭,陈姜嘉旭.基于分块LBP和分块PCA的指静脉识别方法[J].电子测量与仪器学报,2016,30(7):1000-1007.Yang Wen-wen,Mao Jian-xu,Chen Jiang-jia-xu.Finger vein recognition based on block LBP and block PCA[J].Journal of Electronic Measurement and Instrumentation,2016,30(7):1000-1007.
[14]林森,吴微,苑玮琦.子区域局部相位量化在掌脉识别中的应用研究[J].仪器仪表学报,2014,35(3):543-549.Lin Sen,Wu Wei,Yuan Wei-qi.Study on the application of sub-region local phase quantization in palm vein recognization[J].Chinese Journal of Scientific Instrument,2014,35(3):543-549.
[15]贾明兴,杜俊强,宋鹏飞,等.基于不同分块多特征优化融合的人脸识别研究[J].东北大学学报:自然科学版,2017,38(3):310-314.Jia Ming-xing,Du Jun-qiang,Song Peng-fei,et al.Face recognition based on multi-feature optimization fusion of LBP,LPQ and Gabor with multi-scale blocks[J].Journal of Northeastern University(Natural Science),2017,38(3):310-314.
[2]林喜荣,庄波,苏晓生,等.人体手背血管图像的特征提取及匹配[J].清华大学学报:自然科学版,2003,43(2):164-167.Lin Xi-rong,Zhuang Bo,Su Xiao-sheng,et al.Measurement and matching of human vein pattern characteristics[J].Journal of Tsinghua University(Science and Technology),2003,43(2):164-167.
[3]薛定宇,贾旭,崔建江,等.基于区域形状的静脉图像特征提取与匹配[J].东北大学学报:自然科学版,2012,33(1):35-38,64.Xue Ding-yu,Jia Xu,Cui Jian-jiang,et al.Vein image feature extraction and matching based on regional shapes[J].Journal of Northeastern University(Natural Science),2012,33(1):35-38,64.
[4]Wang Y,Liu T,Jiang J.A multi-resolution wavelet algorithm for hand vein pattern recognition[J].Chinese Optics Letters,2008,6(9):657-660.
[5]吕岑,程诚,赵东霞.基于小波分解和K2DPCA-2DLDA的手背静脉识别[J].计算机应用,2011,31(2):423-425.Lv Cen,Cheng Cheng,Zhao Dong-xia.Dorsal hand vein recognition based on wavelet decomposition and K2DPCA-2DLDA[J].Journal of Computer Applications,2011,31(2):423-425.
[6]林森,吴微,苑玮琦.基于局部纹理描述算子的手掌静脉身份识别[J].仪器仪表学报,2014,35(10):2306-2312.Lin Sen,Wu Wei,Yuan Wei-qi.Palm vein identity recognition based on local texture description operator[J].Chinese Journal of Scientific Instrument,2014,35(10):2306-2312.
[7]刘铁根,王云新,李秀艳,等.基于手背静脉的生物特征识别系统[J].光学学报,2009,29(12):3339-3343.Liu Tie-gen,Wang Yun-xin,Li Xiu-yan,et al.Biometric recognition system based on hand vein pattern[J].Acta Optica Sinica,2009,29(12):3339-3343.
[8]Trabelsi R B,Masmoudi A D,Masmoudi D S.A novel biometric system based hand vein recognition[J].Journal of Testing and Evaluation,2014,42(4):809-818.
[9]王云新.基于手背静脉与虹膜的生物特征识别方法研究[D]:天津:天津大学精密仪器与光电子工程学院,2009.Wang Yun-xin.Research on biometric recognition method based on hand vein and iris[D]:Tianjin:School of Precision Instruments and Optoelectronics Engineering,Tianjin Unversity,2009.
[10]Wang R,Wang G,Chen Z,et al.A palm vein identification system based on Gabor wavelet features[J].Neural Computing&Applications,2014,24(1):161-168.
[11]Han Tuo,Wang Zhi-yong,Yang Xiao-ping.Dorsal hand vein recognition based on Gabor multi-orientation fusion and multi-scale HOG features[C]∥Optics in Health Care and Biomedical Optics VII,Beijing,China,2016:1002438.
[12]王一丁,姜楠,李克峰.一种基于双PCA的动态空间手背静脉图像合成方法[J].计算机研究与发展,2014,51(10):2302-2307.Wang Yi-ding,Jiang Nan,Li Ke-feng.Dynamic spatial synthesis of dorsal hand vein images based on PCA[J].Journal of Computer Research and Development,2014,51(10):2302-2307.
[13]杨文文,毛建旭,陈姜嘉旭.基于分块LBP和分块PCA的指静脉识别方法[J].电子测量与仪器学报,2016,30(7):1000-1007.Yang Wen-wen,Mao Jian-xu,Chen Jiang-jia-xu.Finger vein recognition based on block LBP and block PCA[J].Journal of Electronic Measurement and Instrumentation,2016,30(7):1000-1007.
[14]林森,吴微,苑玮琦.子区域局部相位量化在掌脉识别中的应用研究[J].仪器仪表学报,2014,35(3):543-549.Lin Sen,Wu Wei,Yuan Wei-qi.Study on the application of sub-region local phase quantization in palm vein recognization[J].Chinese Journal of Scientific Instrument,2014,35(3):543-549.
[15]贾明兴,杜俊强,宋鹏飞,等.基于不同分块多特征优化融合的人脸识别研究[J].东北大学学报:自然科学版,2017,38(3):310-314.Jia Ming-xing,Du Jun-qiang,Song Peng-fei,et al.Face recognition based on multi-feature optimization fusion of LBP,LPQ and Gabor with multi-scale blocks[J].Journal of Northeastern University(Natural Science),2017,38(3):310-314.