期刊文献+

基于DM642的嵌入式虹膜识别系统设计 被引量:2

Design of embedded iris identification system based on DM642
下载PDF
导出
摘要 提出一种基于TMS320DM642的嵌入式虹膜识别系统设计方案。该系统集图像采集、图像处理以及图像识别于一体,采用DSP/BIOS嵌入式操作系统,实现对虹膜图像的实时处理。对归一化的虹膜图像采用2D-Gabor滤波器实现特征提取,通过比较海明距实现编码匹配。实验表明,该系统具有识别准确率高、体积小、功耗低以及可靠性高等优点。 In this paper, a kind of embedded iris identification system based on DM642 is put forward. This system has image acquisition, image processing and image recognition .The software system is developed with DSP/BIOS embedded operating system to realize the real-time processing of iris image. With 2D-Gabor filter, the feature of normalized iris images is extracted, and the code is matched by hamming distance. Experiment results show that this system can run efficiently and stalility, which has high i- dentification accuracy, small size and low power consumption.
作者 黄健 沈建新
出处 《电子技术应用》 北大核心 2012年第11期31-33,40,共4页 Application of Electronic Technique
基金 江苏省科技支撑计划(BE2010652) 中央高校基本科研业务费专项(南航NJ20120007)
关键词 虹膜识别 DM642 嵌入式 特征提取 iris identification DM642 embedded feature extraction
  • 相关文献

参考文献7

  • 1DAUGMAN J.How iris recognition works[J].IEEE Transactionson Circuits and Systems For Video Technology , 2004 ,14(1):21-30.
  • 2周涛,解梅.基于ARM和DSP的虹膜识别系统的设计[J].计算机技术与发展,2008 ,10(18) :13-15.
  • 3Texas Instruments Inc. TMS320DM642 video/imaging fixed -point digital signal processor[EB/OL]. [2002-07 -20]. http : //www. ti. com / lit / ds / symlink / tms320dm642.
  • 4Zhao Xin , Xie Mei.A practical design of iris recognitionsystem based on DSP[ C ]. Intermational Conference onIntelligent Human - machine Systems and Cybernetics. UnitedStates : IEEE Computer Society , 2009 : 66—70.
  • 5彭启琮,管庆.DSP集成开发环境[M].北京:电子工业出版社,2004.
  • 6叶永强,沈建新,周啸.基于瞳孔灰度特征的快速虹膜定位[J].光电工程,2010,37(3):127-132. 被引量:9
  • 7DAUGMAN J.Uncertainty relation for resolution in space[J].Spatial Frequency and Orientation Optimized by Two-Dim-ensional Visual Cortical filter,1985,12(7): 1160-1169.

二级参考文献10

  • 1张霄,彭维.基于Hough变换的圆形物体的检测[J].传感器与微系统,2006,25(4):62-64. 被引量:14
  • 2John Daugman. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 1993, 15(11): 1148-1161.
  • 3John Daugman. How iris recognition works [J]. IEEE Trans on Systems, Man, and Cybernetics-Part B: Cybernetics (S1083-4419), 2007, 37(5): 1167-1175.
  • 4Wildes P. Iris Recognition: An Emerging Biometric Technology [J]. Proceedings of the IEEE, 1997, 85(9): 1348-1363.
  • 5Soumyadip Rakshit. An Evaluation of Image Sampling and Compression of Human Iris Recognition [J]. IEEE Transactions on information Forensics and Security (S1556-6013), 2007, 2(3): 605-612.
  • 6John Daugman. The importance of being random: statistical principles of iris recognition [J]. Pattern Recognition (S0031-3203), 2003, 36: 279-291.
  • 7中国科学院自动化研究所生物识别与安全技术研究中心.CASIA虹膜图像库(Version1.0)[EB/OL].[2008-05-27].http://www.cbsr.ia.ac.cn/.
  • 8LI Ma, TAN Tie-niu. Personal identification based on iris texture analysis [J]. IEEE Transactions on Pattern Analysis/ind Machine Intelligence(S0162-8828), 2003, 25(12): 1519-1533.
  • 9苑玮琦,刘汪澜,柯丽.适用于虹膜识别的Gabor滤波器参数选择[J].光电工程,2008,35(8):71-77. 被引量:4
  • 10罗忠亮,林土胜.用于身份鉴别的虹膜图像预处理[J].华南理工大学学报(自然科学版),2009,37(5):43-48. 被引量:8

共引文献25

同被引文献22

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部