【摘要】：隨著現(xiàn)代工業(yè)技術(shù)的快速發(fā)展以及人們生活水平的不斷提高,單一模態(tài)下的生物特征識(shí)別技術(shù)所存在的局限性日益被人們發(fā)現(xiàn)。為了滿足人們對(duì)生物識(shí)別技術(shù)精度及可靠性的要求,本文提出并設(shè)計(jì)了一種將手掌靜脈、掌形和掌紋三種模態(tài)特征相融合的識(shí)別裝置。同時(shí),該裝置可在非接觸多光譜條件下對(duì)數(shù)據(jù)信息進(jìn)行識(shí)別采集。能夠很好地解決傳統(tǒng)接觸式的不衛(wèi)生、易傳染疾病的問(wèn)題,同時(shí)也克服了單一模態(tài)的識(shí)別率不高等缺點(diǎn),能夠更全面、有效的提高身份識(shí)別系統(tǒng)的整體性能。本文將DSP與以太網(wǎng)絡(luò)相結(jié)合,基于TMS320DM6437型DSP芯片設(shè)計(jì)了通過(guò)采集手部三模態(tài)信息進(jìn)行用戶身份識(shí)別的掌紋識(shí)別裝置。該裝置配有液晶顯示屏可進(jìn)行實(shí)時(shí)顯示,且通過(guò)以太網(wǎng)接口在DM6437與PC機(jī)之間建立數(shù)據(jù)傳輸。裝置的硬件系統(tǒng)由前端采集和后端顯示及數(shù)據(jù)傳輸兩大部分組成,前段采集系統(tǒng)由紅外感應(yīng)裝置、光源系統(tǒng)、圖像傳感器采集模塊、DSP處理模塊構(gòu)成;后端系統(tǒng)由液晶顯示模塊、以太網(wǎng)接口模塊、語(yǔ)音模塊、復(fù)位模塊及電源模塊等外圍電路組成。軟件系統(tǒng)包括硬件模塊的驅(qū)動(dòng)及初始化、手限定區(qū)域的定位設(shè)計(jì)、注冊(cè)登陸識(shí)別算法以及上位機(jī)界面設(shè)計(jì)等。為解決現(xiàn)有非接觸式掌紋采集裝置光源面積過(guò)大以及實(shí)用性差的缺點(diǎn),本文提出了一種改進(jìn)的光源模型,設(shè)計(jì)攝像頭與藍(lán)光LED按3×3陣列排列,以減少光源數(shù)量及所占面積,并通過(guò)在光源上方加裝導(dǎo)光組件,擴(kuò)大光源照射范圍并提高照度均勻性,從而捕捉到包含更豐富生物信息的完整全手圖像。利用Lighttools軟件仿真可知,導(dǎo)光組件對(duì)照度均勻性有較大改善。本文利用OV5116型雙圖像傳感器對(duì)手部信息進(jìn)行采集,圖像經(jīng)DM6437處理,由VP0口輸出至編碼芯片進(jìn)行D/A轉(zhuǎn)換,輸出信號(hào)由液晶屏實(shí)時(shí)顯示;利用EMAC增強(qiáng)型網(wǎng)絡(luò)存取控制器存儲(chǔ)采集到的手圖像數(shù)據(jù),并由物理層芯片對(duì)數(shù)據(jù)進(jìn)行處理傳輸,通過(guò)在PC機(jī)上完成注冊(cè)等相關(guān)工作后,再將數(shù)據(jù)打包送回至DM642。實(shí)驗(yàn)表明,本文設(shè)計(jì)的手識(shí)別裝置可實(shí)現(xiàn)對(duì)采集數(shù)據(jù)的實(shí)時(shí)顯示、傳輸,可靠性高。通過(guò)對(duì)相關(guān)識(shí)別算法的研究及編寫,可實(shí)現(xiàn)對(duì)用戶身份的準(zhǔn)確識(shí)別。
[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.
【學(xué)位授予單位】：沈陽(yáng)工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN312.8

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