基于灰度变化方向的指静脉特征检测算法
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摘要
针对目前指静脉特征纹路提取不准确、特征纹路断裂、噪声过多、提取过程复杂等问题,采用近红外光电透射式静脉获取方式采集指静脉图像。在预处理阶段设计了四点法对图像的静脉区域与背景区域进行快速分离,通过分析静脉灰度特征,设计垂直于静脉纹路走向的四方向特征模板检测算子对手指静脉进行特征提取与实验。应用该算法,能快速准确提取静脉特征纹路,降低特征纹路断裂问题,提取过程简单且算法效率较高,在提取单幅静脉纹路特征速度可达到1.14 ms。
The current feature extraction method of figure vein has the problems of inaccurate line extraction,fractured characteristic texture,excessive noise and complicated extraction process. The near-infrared photoelectric transmissive vein acquisition method is used to collect the finger vein image. A four-point method is designed in the preprocessing stage to rapidly separate the vein region of the image from the background area. By analyzing the gray scale feature of the vein,the four-directional feature template detection operator perpendicular to the vein is designed to perform the feature extraction and experiment for the finger vein. The proposed algorithm can extract the feature line of vein quickly,and avoid the fracture problem of feature line,has simple extraction process and high efficiency,and the extraction speed of single vein line feature can reach up to 1.14 ms.
The current feature extraction method of figure vein has the problems of inaccurate line extraction,fractured characteristic texture,excessive noise and complicated extraction process. The near-infrared photoelectric transmissive vein acquisition method is used to collect the finger vein image. A four-point method is designed in the preprocessing stage to rapidly separate the vein region of the image from the background area. By analyzing the gray scale feature of the vein,the four-directional feature template detection operator perpendicular to the vein is designed to perform the feature extraction and experiment for the finger vein. The proposed algorithm can extract the feature line of vein quickly,and avoid the fracture problem of feature line,has simple extraction process and high efficiency,and the extraction speed of single vein line feature can reach up to 1.14 ms.
引文
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[11]黎蔚,李继杰,陈家新,等.手掌静脉图像增强算法研究[J].微电子学与计算机,2010,27(7):237-241.LI Wei,LI Jijie,CHEN Jiaxin,et al. Research on the algorithm of palm vein image enhancement[J]. Microelectronics and computers,2010,27(7):237-241.
[2]寒冰,李彬.生物特征识别技术的应用与发展新趋势[J].中国安防,2010(8):40-43.HAN Bing,LI Bin. Application and development trend of biometrics[J]. China security,2010(8):40-43.
[3]黄建元,赵新荣,张长顺,等.基于CMOS成像器件的手指静脉图像采集方法及装置[J].红外技术,2009,31(1):51-56.HUANG Jianyuan,ZHAO Xinrong,ZHANG Changshun,et al. A method and device for collecting finger vein image based on CMOS imaging device[J]. Infrared technology,2009,31(1):51-56.
[4] LEE E C,LEE H C,PARK K R. Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction[J]. International journal of imaging systems and technology,2009,19(3):179-186.
[5]王璐,张文涛.人体手掌静脉图像采集系统研究[J].激光与红外,2013,43(4):404-408.WANG Lu,ZHANG Wentao. Study on the collection system of human palm vein image[J]. Laser and infrared,2013,43(4):404-408.
[6]张晴,林家骏.超像素和阈值分割相结合的显著目标检测算法[J].现代电子技术,2016,39(14):95-99.ZHANG Qing,LIN Jiajun. Significant target detection algorithm based on superpixel and threshold segmentation[J]. Modern electronics technique,2016,39(14):95-99.
[7]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(2):164-167.LIN Xirong,ZHUANG Bo,SU Xiaosheng,et al. Characteristics extraction and matching of human hand dorsal vascular images[J]. Journal of Tsinghua University(science and technology),2003(2):164-167.
[8]张万涛,李维国.利用曲率信息的图像分割改进模型[J].中国图象图形学报,2011,16(8):1385-1392.ZHANG Wantao,LI Weiguo. An improved image segmentation model using curvature information[J]. Journal of image and graphics,2011,16(8):1385-1392.
[9]王科俊,丁宇航,庄大燕,等.手背静脉图像阈值分割[J].自动化技术与应用,2005(8):19-22.WANG Kejun, DING Yuhang, ZHUANG Dayan, et al.Threshold segmentation of the dorsal hand vein[J]. Automation technology and applications,2005(8):19-22.
[10] MIURA N,NAGASAKA A,MIYATAKE T. Extraction of finger-vein patterns using maximum curvature points in image profiles[J]. IEICE transactions on information and systems,2007,90(8):1185-1194.
[11]黎蔚,李继杰,陈家新,等.手掌静脉图像增强算法研究[J].微电子学与计算机,2010,27(7):237-241.LI Wei,LI Jijie,CHEN Jiaxin,et al. Research on the algorithm of palm vein image enhancement[J]. Microelectronics and computers,2010,27(7):237-241.
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