嵌入掌纹特征的二维条码识读系统
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摘要
生物特征识别技术在信息安全方面对设计复杂度和安全性级别两方面的折中提供了很好地解决方案,而二维条形码系统是非网络环境下的高安全性信息载体系统,是一个实现人流、物流和信息流同步的巨型袖珍数据库。因此,生物特征识别技术和二维条码技术都提供了比较高的安全性。
目前,无论是生物特征识别技术还是二维条码技术都有了各自长足发展和特定的应用领域。本着交叉学科产生新兴应用的科学态度,本文考察了目前国内外相关技术的发展现状,借鉴相关成功的开发实体,结合自身特点以及可重用设计方法和先进的NiosII软核处理器的优势,在嵌入式平台上开发出能够比较接近于实际应用的“嵌入生物特征的二维条码专用识读系统”。其中生物特征选择方面,我们采用目前在国际上受到广泛重视并且本实验室有较强理论基础的掌纹特征进行本生物特征认证系统的设计。
本文的主要工作是在可重用设计思想的指导下,将掌纹特征认证功能与二维条码识读功能在一块已搭建好的SOPC平台上实现融合,从而降低了系统成本,复杂度和功耗。本文的研究重点在两方面:一方面是,使用ALTERA公司最新提出的C2H硬件加速器对掌纹特征预处理的软件程序进行加速处理,更好地提高了系统的实时性能;另一方面,对于以前认证系统出现的对数据库外的数据认证效果不佳的情况,提出了一种基于加权函数的掌纹预处理算法,进一步增强了系统的安全性和稳定性。
In information security, biometric feature authentication technology offers a good solution to make balance between complexity of design and level of security. And two-dimentional bar code system is a information carrier system with high security in non-network situation. It is a considerable and portable database that can achieve synchronism in the stream of people, foods and information. Therefore, the biometric feature authentication technology and two-dimentional bar code technology both support high security.
At present, not only biometric feature authentication but also two-dimentional bar code has a great development and specific application. With the scientific attitude of finding a new application for the intersect subject, this paper have observed the development of those technology in internal and international and studied the successful develop object. Based on the superiority of reuse methodology and advanced Nios II softcore processor, we design the specific recognition system of two dimentional bar code embedded the biometric feature in the embedded platform. We select the palm feature to do this design, because it is regard as an important issue in international and our lab have a strong theoritical base on it.
In the guide of reconstruct technology, this thesis integrated the palm feature authentication and two-dimentional bar code recognition in an existent PCB board to minimize the cost, complexity and power of the system. This thesis have two part of research importance: first, we use the new ALTERA's C2H acceleration to accelerate the preprocess program of palm feature in order to improve the performance of system. Second, because former system have a bad result in authentication of the datus that is outside of the database, we develop an arithmetic of pre-processing based on weighted-function in palm in order to increase the security and stability of system.
目前,无论是生物特征识别技术还是二维条码技术都有了各自长足发展和特定的应用领域。本着交叉学科产生新兴应用的科学态度,本文考察了目前国内外相关技术的发展现状,借鉴相关成功的开发实体,结合自身特点以及可重用设计方法和先进的NiosII软核处理器的优势,在嵌入式平台上开发出能够比较接近于实际应用的“嵌入生物特征的二维条码专用识读系统”。其中生物特征选择方面,我们采用目前在国际上受到广泛重视并且本实验室有较强理论基础的掌纹特征进行本生物特征认证系统的设计。
本文的主要工作是在可重用设计思想的指导下,将掌纹特征认证功能与二维条码识读功能在一块已搭建好的SOPC平台上实现融合,从而降低了系统成本,复杂度和功耗。本文的研究重点在两方面:一方面是,使用ALTERA公司最新提出的C2H硬件加速器对掌纹特征预处理的软件程序进行加速处理,更好地提高了系统的实时性能;另一方面,对于以前认证系统出现的对数据库外的数据认证效果不佳的情况,提出了一种基于加权函数的掌纹预处理算法,进一步增强了系统的安全性和稳定性。
In information security, biometric feature authentication technology offers a good solution to make balance between complexity of design and level of security. And two-dimentional bar code system is a information carrier system with high security in non-network situation. It is a considerable and portable database that can achieve synchronism in the stream of people, foods and information. Therefore, the biometric feature authentication technology and two-dimentional bar code technology both support high security.
At present, not only biometric feature authentication but also two-dimentional bar code has a great development and specific application. With the scientific attitude of finding a new application for the intersect subject, this paper have observed the development of those technology in internal and international and studied the successful develop object. Based on the superiority of reuse methodology and advanced Nios II softcore processor, we design the specific recognition system of two dimentional bar code embedded the biometric feature in the embedded platform. We select the palm feature to do this design, because it is regard as an important issue in international and our lab have a strong theoritical base on it.
In the guide of reconstruct technology, this thesis integrated the palm feature authentication and two-dimentional bar code recognition in an existent PCB board to minimize the cost, complexity and power of the system. This thesis have two part of research importance: first, we use the new ALTERA's C2H acceleration to accelerate the preprocess program of palm feature in order to improve the performance of system. Second, because former system have a bad result in authentication of the datus that is outside of the database, we develop an arithmetic of pre-processing based on weighted-function in palm in order to increase the security and stability of system.
引文
[1] Michael Keating, Pierre Bricaud.片上系统——可重用设计方法学.第三版.电子工业出版社.2004.
[2] 潘松,黄继业,曾毓.SOPC 技术实用教程.清华大学出版社.2005.
[3] 王田苗.嵌入式系统设计与实例开发.清华大学出版社.2002.
[4] 徐欣等.基于 FPGA 的嵌入式系统设计——Xilinx Edition.机械工业出版社.2005.
[5] 任爱琴,初秀琴,常存,孙肖子.基于 FPGA 的嵌入式系统设计.西安电子科技大学出版社.2004.
[6] 边肇祺,张学工等.模式识别.清华大学出版社.1999.
[7] 阮秋琦.数字图像处理学.北京.电子工业出版社.2001.
[8] 何斌,马天予,王运坚,朱红莲.Visual C++数字图像处理.第二版.北京.人民邮电出版社.2002 年.
[9] 矫云起,张承海.二维条码技术.北京.中国物价出版社.1996.26-42 页.
[10] 黄以群,董湘陵.条形码技术.北京.国防工业出版社.1991.
[11] 李强,裘正定,孙东梅,刘陆陆.基于改进二维主元分析的在线掌纹识别.电子学报.Vol.33. No.10.2005.
[12] 孙瑞华.生物特征识别:身体证明自己.新经济导刊.2002.11.16.
[13] 谭铁牛.第三届中国生物识别学术会议.2002.8.
[14] 朱全庆,邹雪城等.片上系统中的 IP 复用.半导体技术.第 26 卷第 7 期.2001.7.
[15] 吴冰,李森森.EDA 技术的发展与应用.电子世界.2001.
[16] 刘陆陆.基于 Nios 的掌纹鉴别系统设计与实现.单片机与嵌入式系统应用.2005.2.
[17] 刘陆陆.基于 Nios 的掌纹鉴别系统. Nios 软核心嵌入式处理器设计大赛优秀作品精选.2005.1.
[18] 杨光.基于双中心羽化加权函数的 PCA 算法在人脸识别中的应用研究[学位论文].北京交通大学.信号科学研究所.2005.44-46 页.
[19] 王峰,陈艾.可重构计算:高效灵活的计算技术.计算机世界报.2005.6.6.第 21 期.B1、B2、B3.
[20] 付鹏,裘正定.生物特征识别技术及相关问题综述.计算机安全.2003.(3).
[21] 嵌入式系统设计的新发展及其挑战.单片机与嵌入式系统应用.
[22] A.K.Jian, R.Bolle, S.Pankanti. Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers.1999.
[23] A.K.Jain, A.Ross. Multibiometric Systems. Communications of ACM. Special Issue on Multimodal Interfaces. Vol.47. No.1. pp. 34-40. 2004.
[24] L.Zhang, D.Zhang. Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling. IEEE Trans. On SMC.B. Vol.34. pp:1335-1347. 2004.
[25] D.Zhang, W.Shu. Two Novel Characteristics in Palmprint Verification: Datum Point Invariance and Line Feature Matching. Pattern Recognition. Vol.32. pp.691-702. 1999.
[26] D.Zhang, W.Kong, J.You. Online Palmprint Identification. IEEE Trans. PAMI. 25(9). pp1041-1050. 2003.
[27] G. Lu, D. Zhang, K. Wang. Palmprint Recognition using Eigenpalms Features. Patter Recognition Letters. vol.24. pp. 1463-1467. 2003.
[28] X. Wu, D. Zhang, K. Wang. Fisherpalms Based Palmprint Recognition. Pattern Recognition Letters. 24. pp. 2829-2838. 2003.
[29] C. Han, H. Cheng, C. Lin, K. Fan. Personal Authentication using Palm-print Features. Pattern Recognition. vol.36. pp. 371-381. 2003.
[30] W. Li, D. Zhang, Z. Xu. Palmprint Recognition Based on Fourier Transform. Chinese Journal of Software. vol.13. pp.879-886. 2002.
[31] BTT.hand based biometrics. Biometric Technology Today. July/August. 2003.
[32] J.Yang, D.Zhang, A.F.Frangi, J.-y. Yang. Two_Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognion. IEEE Trans. PAMI. 26:131-137. 2004.
[33] J.Yang, J.-y. Yang. From Image Vector to Matrix: a Straightforward Image Progection Technique-IMPCA vs. PCA. Pattern Recognition. 35. pp. 1997-1999. 2002.
[34] X.Wu, et al. Palmprint Identification using Principle Lines. Pattern Recognition. vol.37. pp.1987-1998. 2004.
[35] Creating Multiprocessor NiosII System. Altera. 2005.
[36] NiosII Processor Reference Book. Altera. 2005.
[37] Reinaldo A B, William R L. Designing systems-on-chip using cores [A]. the 37th Design Automation Conf[C]. Los Angeles. [s n].2000.
[38] Thomas T Technology for IP reuse and portabiligy [J]. IEEE Design & Test of Computers. 1999. 16(4). pp. 7-13.
[39] www.Altera.com.cn
[40] 2 Nios II Custom Instruction User Guide. www.Altera.com
[41] AS8210 用户手册.力象科技公司.1999.
[2] 潘松,黄继业,曾毓.SOPC 技术实用教程.清华大学出版社.2005.
[3] 王田苗.嵌入式系统设计与实例开发.清华大学出版社.2002.
[4] 徐欣等.基于 FPGA 的嵌入式系统设计——Xilinx Edition.机械工业出版社.2005.
[5] 任爱琴,初秀琴,常存,孙肖子.基于 FPGA 的嵌入式系统设计.西安电子科技大学出版社.2004.
[6] 边肇祺,张学工等.模式识别.清华大学出版社.1999.
[7] 阮秋琦.数字图像处理学.北京.电子工业出版社.2001.
[8] 何斌,马天予,王运坚,朱红莲.Visual C++数字图像处理.第二版.北京.人民邮电出版社.2002 年.
[9] 矫云起,张承海.二维条码技术.北京.中国物价出版社.1996.26-42 页.
[10] 黄以群,董湘陵.条形码技术.北京.国防工业出版社.1991.
[11] 李强,裘正定,孙东梅,刘陆陆.基于改进二维主元分析的在线掌纹识别.电子学报.Vol.33. No.10.2005.
[12] 孙瑞华.生物特征识别:身体证明自己.新经济导刊.2002.11.16.
[13] 谭铁牛.第三届中国生物识别学术会议.2002.8.
[14] 朱全庆,邹雪城等.片上系统中的 IP 复用.半导体技术.第 26 卷第 7 期.2001.7.
[15] 吴冰,李森森.EDA 技术的发展与应用.电子世界.2001.
[16] 刘陆陆.基于 Nios 的掌纹鉴别系统设计与实现.单片机与嵌入式系统应用.2005.2.
[17] 刘陆陆.基于 Nios 的掌纹鉴别系统. Nios 软核心嵌入式处理器设计大赛优秀作品精选.2005.1.
[18] 杨光.基于双中心羽化加权函数的 PCA 算法在人脸识别中的应用研究[学位论文].北京交通大学.信号科学研究所.2005.44-46 页.
[19] 王峰,陈艾.可重构计算:高效灵活的计算技术.计算机世界报.2005.6.6.第 21 期.B1、B2、B3.
[20] 付鹏,裘正定.生物特征识别技术及相关问题综述.计算机安全.2003.(3).
[21] 嵌入式系统设计的新发展及其挑战.单片机与嵌入式系统应用.
[22] A.K.Jian, R.Bolle, S.Pankanti. Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers.1999.
[23] A.K.Jain, A.Ross. Multibiometric Systems. Communications of ACM. Special Issue on Multimodal Interfaces. Vol.47. No.1. pp. 34-40. 2004.
[24] L.Zhang, D.Zhang. Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling. IEEE Trans. On SMC.B. Vol.34. pp:1335-1347. 2004.
[25] D.Zhang, W.Shu. Two Novel Characteristics in Palmprint Verification: Datum Point Invariance and Line Feature Matching. Pattern Recognition. Vol.32. pp.691-702. 1999.
[26] D.Zhang, W.Kong, J.You. Online Palmprint Identification. IEEE Trans. PAMI. 25(9). pp1041-1050. 2003.
[27] G. Lu, D. Zhang, K. Wang. Palmprint Recognition using Eigenpalms Features. Patter Recognition Letters. vol.24. pp. 1463-1467. 2003.
[28] X. Wu, D. Zhang, K. Wang. Fisherpalms Based Palmprint Recognition. Pattern Recognition Letters. 24. pp. 2829-2838. 2003.
[29] C. Han, H. Cheng, C. Lin, K. Fan. Personal Authentication using Palm-print Features. Pattern Recognition. vol.36. pp. 371-381. 2003.
[30] W. Li, D. Zhang, Z. Xu. Palmprint Recognition Based on Fourier Transform. Chinese Journal of Software. vol.13. pp.879-886. 2002.
[31] BTT.hand based biometrics. Biometric Technology Today. July/August. 2003.
[32] J.Yang, D.Zhang, A.F.Frangi, J.-y. Yang. Two_Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognion. IEEE Trans. PAMI. 26:131-137. 2004.
[33] J.Yang, J.-y. Yang. From Image Vector to Matrix: a Straightforward Image Progection Technique-IMPCA vs. PCA. Pattern Recognition. 35. pp. 1997-1999. 2002.
[34] X.Wu, et al. Palmprint Identification using Principle Lines. Pattern Recognition. vol.37. pp.1987-1998. 2004.
[35] Creating Multiprocessor NiosII System. Altera. 2005.
[36] NiosII Processor Reference Book. Altera. 2005.
[37] Reinaldo A B, William R L. Designing systems-on-chip using cores [A]. the 37th Design Automation Conf[C]. Los Angeles. [s n].2000.
[38] Thomas T Technology for IP reuse and portabiligy [J]. IEEE Design & Test of Computers. 1999. 16(4). pp. 7-13.
[39] www.Altera.com.cn
[40] 2 Nios II Custom Instruction User Guide. www.Altera.com
[41] AS8210 用户手册.力象科技公司.1999.