非接触多光谱手成像光学系统研制
发布时间：2018-11-21 12:46
【摘要】：随着现代工业技术的快速发展以及人们生活水平的不断提高,单一模态下的生物特征识别技术所存在的局限性日益被人们发现。为了满足人们对生物识别技术精度及可靠性的要求,本文提出并设计了一种将手掌静脉、掌形和掌纹三种模态特征相融合的识别装置。同时,该装置可在非接触多光谱条件下对数据信息进行识别采集。能够很好地解决传统接触式的不卫生、易传染疾病的问题,同时也克服了单一模态的识别率不高等缺点,能够更全面、有效的提高身份识别系统的整体性能。本文将DSP与以太网络相结合,基于TMS320DM6437型DSP芯片设计了通过采集手部三模态信息进行用户身份识别的掌纹识别装置。该装置配有液晶显示屏可进行实时显示,且通过以太网接口在DM6437与PC机之间建立数据传输。装置的硬件系统由前端采集和后端显示及数据传输两大部分组成,前段采集系统由红外感应装置、光源系统、图像传感器采集模块、DSP处理模块构成;后端系统由液晶显示模块、以太网接口模块、语音模块、复位模块及电源模块等外围电路组成。软件系统包括硬件模块的驱动及初始化、手限定区域的定位设计、注册登陆识别算法以及上位机界面设计等。为解决现有非接触式掌纹采集装置光源面积过大以及实用性差的缺点,本文提出了一种改进的光源模型,设计摄像头与蓝光LED按3×3阵列排列,以减少光源数量及所占面积,并通过在光源上方加装导光组件,扩大光源照射范围并提高照度均匀性,从而捕捉到包含更丰富生物信息的完整全手图像。利用Lighttools软件仿真可知,导光组件对照度均匀性有较大改善。本文利用OV5116型双图像传感器对手部信息进行采集,图像经DM6437处理,由VP0口输出至编码芯片进行D/A转换,输出信号由液晶屏实时显示;利用EMAC增强型网络存取控制器存储采集到的手图像数据,并由物理层芯片对数据进行处理传输,通过在PC机上完成注册等相关工作后,再将数据打包送回至DM642。实验表明,本文设计的手识别装置可实现对采集数据的实时显示、传输,可靠性高。通过对相关识别算法的研究及编写,可实现对用户身份的准确识别。
[Abstract]:With the rapid development of modern industrial technology and the continuous improvement of people's living standard, the limitations of biometric identification technology in single mode have been increasingly discovered. In order to meet the requirements of accuracy and reliability of biometrics, this paper proposes and designs a recognition device which combines the three modal features of palmar vein, palmar shape and palmprint. At the same time, the device can identify and collect the data under non-contact multi-spectral condition. It can solve the problem of traditional contact unsanitary and infectious diseases, and overcome the shortcomings such as low recognition rate of single mode, so it can improve the overall performance of identity recognition system more comprehensively and effectively. This paper combines DSP with Ethernet, and designs a palmprint recognition device based on TMS320DM6437 DSP chip for user identification by collecting hand three-mode information. The device is equipped with liquid crystal display screen to display in real time, and the data transmission between DM6437 and PC is established through Ethernet interface. The hardware system of the device consists of front-end acquisition, back-end display and data transmission. The front-end acquisition system is composed of infrared sensor, light source system, image sensor acquisition module and DSP processing module. The backend system consists of LCD module, Ethernet interface module, voice module, reset module and power supply module. The software system includes the driver and initialization of hardware module, the location design of hand-limited area, the registration and landing identification algorithm, and the design of upper computer interface, etc. In order to solve the problems of large light source area and poor practicability of the existing contactless palmprint acquisition device, an improved light source model is proposed in this paper. The camera and blue LED are arranged in 3 脳 3 arrays to reduce the number of light sources and the area occupied. By installing a light guide module over the light source, the illumination range of the light source is enlarged and the illumination uniformity is improved, so that the complete hand image containing more biological information can be captured. The simulation of Lighttools software shows that the uniformity of light guide module is improved greatly. In this paper, the information of hand is collected by OV5116 double image sensor. The image is processed by DM6437, and the output signal is displayed by LCD screen in real time. The output signal is output from VP0 port to coding chip for D / A conversion. The EMAC enhanced network access controller is used to store the collected hand image data, and the data is processed and transmitted by the physical layer chip. After completing the registration work on the PC computer, the data is packaged and sent back to DM642.. The experiments show that the hand recognition device designed in this paper can display and transmit the collected data in real time and has high reliability. Through the research and writing of the related identification algorithm, the user identity can be accurately identified.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN312.8
本文编号：2346996
[Abstract]:With the rapid development of modern industrial technology and the continuous improvement of people's living standard, the limitations of biometric identification technology in single mode have been increasingly discovered. In order to meet the requirements of accuracy and reliability of biometrics, this paper proposes and designs a recognition device which combines the three modal features of palmar vein, palmar shape and palmprint. At the same time, the device can identify and collect the data under non-contact multi-spectral condition. It can solve the problem of traditional contact unsanitary and infectious diseases, and overcome the shortcomings such as low recognition rate of single mode, so it can improve the overall performance of identity recognition system more comprehensively and effectively. This paper combines DSP with Ethernet, and designs a palmprint recognition device based on TMS320DM6437 DSP chip for user identification by collecting hand three-mode information. The device is equipped with liquid crystal display screen to display in real time, and the data transmission between DM6437 and PC is established through Ethernet interface. The hardware system of the device consists of front-end acquisition, back-end display and data transmission. The front-end acquisition system is composed of infrared sensor, light source system, image sensor acquisition module and DSP processing module. The backend system consists of LCD module, Ethernet interface module, voice module, reset module and power supply module. The software system includes the driver and initialization of hardware module, the location design of hand-limited area, the registration and landing identification algorithm, and the design of upper computer interface, etc. In order to solve the problems of large light source area and poor practicability of the existing contactless palmprint acquisition device, an improved light source model is proposed in this paper. The camera and blue LED are arranged in 3 脳 3 arrays to reduce the number of light sources and the area occupied. By installing a light guide module over the light source, the illumination range of the light source is enlarged and the illumination uniformity is improved, so that the complete hand image containing more biological information can be captured. The simulation of Lighttools software shows that the uniformity of light guide module is improved greatly. In this paper, the information of hand is collected by OV5116 double image sensor. The image is processed by DM6437, and the output signal is displayed by LCD screen in real time. The output signal is output from VP0 port to coding chip for D / A conversion. The EMAC enhanced network access controller is used to store the collected hand image data, and the data is processed and transmitted by the physical layer chip. After completing the registration work on the PC computer, the data is packaged and sent back to DM642.. The experiments show that the hand recognition device designed in this paper can display and transmit the collected data in real time and has high reliability. Through the research and writing of the related identification algorithm, the user identity can be accurately identified.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN312.8
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