基于DSP的指纹识别系统硬件平台设计
摘要
指纹识别作为生物特征识别的一种,由于指纹具有的唯一性、终身不变性、难于伪造等特点,使其在金融安全、数据加密、电子商务等安全性要求较高的行业中得到广泛应用,是目前研究与应用的一个热点。随着标准CMOS工艺制造,且集成SPI、USB和MCU接口的指纹传感芯片的出现,以及DSP在图像处理领域的广泛应用,以DSP和指纹传感芯片为核心的指纹识别系统结构是今后指纹识别技术的一个发展方向。
本文在对指纹识别技术各环节进行深入研究的基础上,结合DSP和指纹传感芯片的特性,对系统各模块进行合理的组合与优化,设计了一个小体积、低功耗、快速度的指纹识别系统硬件平台。论文的内容主要包括以下几方面:
1、研究和分析了目前国內外指纹识别技术和指纹识别系统的发展状况,在此基础上提出了基于DSP的指纹识别系统硬件平台设计方案。
2、本着增加系统集成度、减小系统体积、提高便携性、降低功耗和成本同时提升系统性能的原则,以DSP芯片TMS320C5416和指纹传感芯片MBF200为核心,外配片外SRAM和FLASH存储器以及LCD显示屏等,设计了一个基于DSP的便携式指纹识别系统硬件平台。
3、对指纹识别系统硬件平台进行调试和验证,在平台正常工作的基础上完成系统初始化和指纹图像采集程序的移植,最后实现了指纹图像的成功采集。
实验结果表明本文提出的硬件平台设计方案是可行的。基于DSP的自动指纹识别系统硬件平台在功耗、速度、体积和可扩展性方面有着独特的优势,具有广阔的发展空间。
Fingerprint identification as one of biology character identifications, because of the stability and security, has been widely applied to finance and electron business; it is a hotspot of the present study and application. With the appearance of fingerprint sensor chip and the DSP wide applications to image processing, the fingerprint identification system structure that uses fingerprint sensor and DSP as the core will become popular in future.
In this paper, basing on the in-depth research and sound investigation, a convenient, fast and inexpensive hardware development platform of fingerprint identification system has been successfully designed. This paper is made up of the following parts:
The basic principle, system structure, estimation criterion of the fingerprint identification system have been realized and the elements of the system have been chosen by analyzing the present development status of fingerprint identification art.
By using digital signal processing TMS320C5416 and fingerprint sensor MBF200 as its main chips, with the cooperation of SRAM memory, FLASH memory, LCD and so on, this platform has archived the objective of high performance and integration, low cost and consumption, small size.
Debug and validation have been made to make sure that the platform is in order. Following this, system initialization and fingerprint image capture program have been successfully transplanted to the hardware platform. At last, fingerprint images have been exactly captured.
Experimentation has proved that hardware platform design presented by this paper is practicable. Fingerprint identification system based on DSP has particular advantages of speed, power, area and expansibility and has wide development space.
本文在对指纹识别技术各环节进行深入研究的基础上,结合DSP和指纹传感芯片的特性,对系统各模块进行合理的组合与优化,设计了一个小体积、低功耗、快速度的指纹识别系统硬件平台。论文的内容主要包括以下几方面:
1、研究和分析了目前国內外指纹识别技术和指纹识别系统的发展状况,在此基础上提出了基于DSP的指纹识别系统硬件平台设计方案。
2、本着增加系统集成度、减小系统体积、提高便携性、降低功耗和成本同时提升系统性能的原则,以DSP芯片TMS320C5416和指纹传感芯片MBF200为核心,外配片外SRAM和FLASH存储器以及LCD显示屏等,设计了一个基于DSP的便携式指纹识别系统硬件平台。
3、对指纹识别系统硬件平台进行调试和验证,在平台正常工作的基础上完成系统初始化和指纹图像采集程序的移植,最后实现了指纹图像的成功采集。
实验结果表明本文提出的硬件平台设计方案是可行的。基于DSP的自动指纹识别系统硬件平台在功耗、速度、体积和可扩展性方面有着独特的优势,具有广阔的发展空间。
Fingerprint identification as one of biology character identifications, because of the stability and security, has been widely applied to finance and electron business; it is a hotspot of the present study and application. With the appearance of fingerprint sensor chip and the DSP wide applications to image processing, the fingerprint identification system structure that uses fingerprint sensor and DSP as the core will become popular in future.
In this paper, basing on the in-depth research and sound investigation, a convenient, fast and inexpensive hardware development platform of fingerprint identification system has been successfully designed. This paper is made up of the following parts:
The basic principle, system structure, estimation criterion of the fingerprint identification system have been realized and the elements of the system have been chosen by analyzing the present development status of fingerprint identification art.
By using digital signal processing TMS320C5416 and fingerprint sensor MBF200 as its main chips, with the cooperation of SRAM memory, FLASH memory, LCD and so on, this platform has archived the objective of high performance and integration, low cost and consumption, small size.
Debug and validation have been made to make sure that the platform is in order. Following this, system initialization and fingerprint image capture program have been successfully transplanted to the hardware platform. At last, fingerprint images have been exactly captured.
Experimentation has proved that hardware platform design presented by this paper is practicable. Fingerprint identification system based on DSP has particular advantages of speed, power, area and expansibility and has wide development space.
引文
铩颷1]张雄伟,曹铁勇.DSP 芯片的原理与开发应用.第二版.北京.电子工业出版社.2000:18-24
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[3]王天祥.数字信号处理器及其支持芯片的选择.DSP开发与应用.1996,6(1):14-29
[4]Bolle,S.Pankanti.Biometrics Personal Identification in Networked Society.KluwerAcademic Publishers.1999:3-10
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[6]E.Newham.The Biometric Report.New York.SJB Services.1995:11-20
[7]H.Cummms,C.Mildo.Finger Prints Palms and Soles.Dover Publication Inc.1961:89
[8]赵泉.联机指纹鉴别系统的研究与实现.哈尔滨工业大学.1999:17
[9]TPS37HD301.UAL-OUTPUT LOW-DROPUTVOLTAGE REGULATORS SLV167C-SEPTEMBER.1998:5-11
[10]于焱.指纹识别技术在考试管理信息系统应用的研究.长春大学学报.2003,6(1):32-35
[11]罗希平,田捷.自动指纹识别中的图像增强和细节匹配算法.软件学报.2002,40(5):946-956
[12]尹义龙,宁新宝.自动指纹识别技术的发展与应用.南京大学学报(自然科学版).2002,45(1):56-57
[13]黄贤武,王加俊.指纹识别的预处理组合算法.计算机应用.2002,48(10):6-10
[14]刘旭,田捷.自动指纹识别算法在嵌入式系统上的实现.计算机工程与应用.2002,38(21):120-122
[15]周煜.基于SPI协议的MMC卡读写的实现[J].计算机仿真.2003:2
[16]张堂牌,田捷,刘旭.基于DSP指纹识别核心算法的设计与实现[J].计算机工程与应用.2003:6-10
[17]王笑钢.16位DSP系统开发平台的设计与实现[D].上海交通大学学位论文.2004:18-24
[18]Andy S R,Wang Y W.Realization of fingerprint identification module DSP board[A].IEEE 2002,2:509-512
[19]刘满华,许超,邵惠鹤.一种实用的指纹自动识别系统的设汁[J].计算机工程.2002,28(5):38-39
[20]戴明桢,周建江.TMS320C54xDSP结构、原理及应用[M].北京.北京航空航天大学出版社.2001:38-39
[21]李荐民.CPLD在图像采集系统中的应用[J].计算机工程与应用.2002,10(11):765-767
[22]Fujitsu.MBF200 DATASHEET.2002:2-8
[23]祖先锋,潘孟春等.集UART和RS232于一体的MAX31110E原理与应用.国外电子元器件.2003,1:34-36
[24]Texas Instruments.TMS320C54X DSP Reference Set.2001:3-21
[2]张雄伟,陈亮,徐光辉.DSP集成开发与应用实例.北京.电子工业出版社.2002:18-24
[3]王天祥.数字信号处理器及其支持芯片的选择.DSP开发与应用.1996,6(1):14-29
[4]Bolle,S.Pankanti.Biometrics Personal Identification in Networked Society.KluwerAcademic Publishers.1999:3-10
[5]Federal Bureau of Investigation.The Science of Fingerprints.Classification and Uses.Washington D.C.GPO.1984:2-8
[6]E.Newham.The Biometric Report.New York.SJB Services.1995:11-20
[7]H.Cummms,C.Mildo.Finger Prints Palms and Soles.Dover Publication Inc.1961:89
[8]赵泉.联机指纹鉴别系统的研究与实现.哈尔滨工业大学.1999:17
[9]TPS37HD301.UAL-OUTPUT LOW-DROPUTVOLTAGE REGULATORS SLV167C-SEPTEMBER.1998:5-11
[10]于焱.指纹识别技术在考试管理信息系统应用的研究.长春大学学报.2003,6(1):32-35
[11]罗希平,田捷.自动指纹识别中的图像增强和细节匹配算法.软件学报.2002,40(5):946-956
[12]尹义龙,宁新宝.自动指纹识别技术的发展与应用.南京大学学报(自然科学版).2002,45(1):56-57
[13]黄贤武,王加俊.指纹识别的预处理组合算法.计算机应用.2002,48(10):6-10
[14]刘旭,田捷.自动指纹识别算法在嵌入式系统上的实现.计算机工程与应用.2002,38(21):120-122
[15]周煜.基于SPI协议的MMC卡读写的实现[J].计算机仿真.2003:2
[16]张堂牌,田捷,刘旭.基于DSP指纹识别核心算法的设计与实现[J].计算机工程与应用.2003:6-10
[17]王笑钢.16位DSP系统开发平台的设计与实现[D].上海交通大学学位论文.2004:18-24
[18]Andy S R,Wang Y W.Realization of fingerprint identification module DSP board[A].IEEE 2002,2:509-512
[19]刘满华,许超,邵惠鹤.一种实用的指纹自动识别系统的设汁[J].计算机工程.2002,28(5):38-39
[20]戴明桢,周建江.TMS320C54xDSP结构、原理及应用[M].北京.北京航空航天大学出版社.2001:38-39
[21]李荐民.CPLD在图像采集系统中的应用[J].计算机工程与应用.2002,10(11):765-767
[22]Fujitsu.MBF200 DATASHEET.2002:2-8
[23]祖先锋,潘孟春等.集UART和RS232于一体的MAX31110E原理与应用.国外电子元器件.2003,1:34-36
[24]Texas Instruments.TMS320C54X DSP Reference Set.2001:3-21