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Iris capture and identification device research

Author: ZhangLiLi
Tutor: YuanZuoZuo
School: Shenyang University of Technology
Course: Measuring Technology and Instruments
Keywords: Iris Recognition Algorithm transplant TMS320DM642 DSP / BIOS
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 83
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Abstract


Iris is unique, and stability can be collected , non- invasive , etc., therefore , iris recognition in recent years, the rise of an identification method , it is considered to be the most promising and most secure biometric method . In the process of iris recognition technology among the iris recognition algorithm is the focus , iris image acquisition device research and development of iris recognition systems are also essential. More traditional iris recognition system is a computer-based , installed on your computer by a frame grabber capture the human eye image, and then back-end processing on a computer . With computers and digital image processing technology development and product demand continues to expand , requiring iris recognition device portable and intelligent. With the rapid development of programmable devices , based on DSP (Digital Signal Processor) for iris recognition system has become the main development direction . First , this paper introduces the iris recognition system development in the world , and analyzes the iris recognition system for the current problems . Iris image acquisition device is the focus and iris recognition system one of the difficulties , the paper briefly introduces the iris recognition acquisition device constitutes the main function of each part . Secondly, this paper focuses on the acquisition device based on the iris , TMS320DM642 development board and the display device constructed iris recognition system , and to achieve on this hardware platform independently iris image acquisition, storage and transmission. Based on the PC, and DM642 platform performance analysis, realization of iris image preprocessing algorithm and iris recognition algorithm of DSP transplant process , and solved in the algorithm transplant process address space encountered in storage and system optimization problem. Finally, this paper developed an iris recognition system based on TMS320DM642 . The system program operating environment for C64x series DSP real-time operating system DSP / BIOS, use the class / Micro Drive model application framework built , iris recognition algorithm in DSP / BOIS kernel , multi- task scheduling. Experiments show that the system has good real-time performance , stability and accuracy.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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