本文選題：多模態(tài)生物特征識(shí)別 + 嵌入式Linux系統(tǒng)　； 參考：《哈爾濱工程大學(xué)》2012年碩士論文

【摘要】：隨著世界人口數(shù)量的日益增大和流動(dòng)性的不斷增強(qiáng)，用于身份認(rèn)證的生物特征識(shí)別技術(shù)得到了越來越廣泛的重視。多模態(tài)生物特征識(shí)別技術(shù)利用了人體所固有的生物特征進(jìn)行身份識(shí)別，并克服了單模態(tài)生物特征識(shí)別技術(shù)的不足，因此具有相當(dāng)?shù)目煽啃浴ｋS著嵌入式技術(shù)的迅速發(fā)展，人們對(duì)系統(tǒng)的便攜性和實(shí)用性提出了更高的要求。嵌入式系統(tǒng)具有專用性強(qiáng)、實(shí)時(shí)性高、靈活性強(qiáng)等特點(diǎn)，能夠適合各種工作環(huán)境，可以完成多模態(tài)生物特征識(shí)別系統(tǒng)的所有功能，因此，本文將設(shè)計(jì)一款多模態(tài)生物特征嵌入式識(shí)別裝置。 本文所設(shè)計(jì)的多模態(tài)生物特征嵌入式識(shí)別裝置主要實(shí)現(xiàn)視覺生物特征（如指紋、手指靜脈等）的采集，，得到有效的圖像數(shù)據(jù)，為以后在嵌入式系統(tǒng)上實(shí)現(xiàn)多模態(tài)生物特征識(shí)別功能提供硬件平臺(tái)與軟件平臺(tái)。 本文針對(duì)多模態(tài)生物特征嵌入式識(shí)別裝置的功能要求，選用TI公司的TMS320DM6446作為嵌入式系統(tǒng)的核心處理器，并選用Linux作為操作系統(tǒng)。本文主要完成了系統(tǒng)硬件平臺(tái)的設(shè)計(jì)工作，并基于硬件平臺(tái)進(jìn)行了系統(tǒng)軟件平臺(tái)的設(shè)計(jì)與實(shí)現(xiàn)。 本文主要研究?jī)?nèi)容包括系統(tǒng)硬件平臺(tái)架構(gòu)設(shè)計(jì)、嵌入式Linux操作系統(tǒng)設(shè)計(jì)以及視頻/圖像采集接口設(shè)計(jì)等，并重點(diǎn)對(duì)相應(yīng)接口的Linux驅(qū)動(dòng)程序進(jìn)行了編寫。為了實(shí)現(xiàn)多模態(tài)生物特征采集功能，視頻/圖像采集功能模塊設(shè)計(jì)為雙路視頻/圖像采集接口。論文詳細(xì)闡述了雙路視頻/圖像采集接口的設(shè)計(jì)方法，包括接口的硬件電路設(shè)計(jì)以及軟件驅(qū)動(dòng)設(shè)計(jì)。在視頻/圖像采集接口設(shè)計(jì)過程中，針對(duì)處理器TMS320DM6446結(jié)構(gòu)特點(diǎn)，并結(jié)合系統(tǒng)的視頻/圖像采集功能要求和嵌入式Linux操作系統(tǒng)驅(qū)動(dòng)架構(gòu)，對(duì)基于V4L2架構(gòu)的視頻/圖像驅(qū)動(dòng)程序進(jìn)行了深入研究，最終完成了包含V4L2驅(qū)動(dòng)、VPFE驅(qū)動(dòng)、以及復(fù)合視頻采集接口驅(qū)動(dòng)或數(shù)字圖像采集接口驅(qū)動(dòng)在內(nèi)的完整的視頻/圖像采集驅(qū)動(dòng)程序。 本系統(tǒng)設(shè)計(jì)了多模態(tài)生物特征嵌入式識(shí)別裝置的軟硬件平臺(tái)，并實(shí)現(xiàn)了生物特征采集功能，為后續(xù)的多模態(tài)生物特征識(shí)別功能算法實(shí)現(xiàn)提供了有效的硬件技術(shù)支持。
[Abstract]:With the increasing population and mobility of the world, biometric identification technology for identity authentication has been paid more and more attention. Multi-modal biometric recognition technology makes use of the inherent biological characteristics of human body to identify and overcome the shortcomings of single-mode biometric identification technology, so it has considerable reliability. With the rapid development of embedded technology, people put forward higher requirements for the portability and practicability of the system. The embedded system has the characteristics of high specificity, high real-time, strong flexibility and so on. It can adapt to all kinds of working environment, and can complete all the functions of the multi-modal biometric recognition system. In this paper, a multi-modal biometric embedded recognition device will be designed. The multi-modal biometric embedded recognition device designed in this paper mainly realizes the collection of visual biometric features (such as fingerprints, finger veins, etc.), and obtains effective image data. It provides hardware platform and software platform for the realization of multimodal biometric recognition in embedded system. In this paper, according to the functional requirements of multi-modal biometric embedded recognition device, TI's TMS320DM6446 is selected as the core processor of embedded system, and Linux is selected as operating system. This paper mainly completes the design of the system hardware platform, and the design and implementation of the system software platform based on the hardware platform. The main contents of this paper include the design of system hardware platform, embedded Linux operating system and video / image acquisition interface, etc. The Linux driver of the corresponding interface is mainly written in this paper. In order to realize the multi-modal biometric acquisition function, the video / image acquisition module is designed as a dual-channel video / image acquisition interface. The design method of dual-channel video / image acquisition interface is described in detail, including hardware circuit design and software driver design. In the process of designing video / image acquisition interface, according to the characteristics of processor TMS320DM6446 structure, combined with the system video / image acquisition function requirements and embedded Linux operating system driver architecture, The video / image driver based on V4L2 architecture is studied in detail. Finally, the VPFE driver including V4L2 driver is completed. And the composite video capture interface driver or digital image acquisition interface driver including the complete video / image acquisition driver. This system designed the hardware and software platform of the multi-modal biometric embedded recognition device, and realized the biometric collection function, which provided an effective hardware technical support for the subsequent implementation of the multi-modal biometric recognition algorithm.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP391.4;TP368.1

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