期刊文献+

基于DSP平台的人民币编号识别系统的设计与实现 被引量:1

Design and Implementation of RMB serial number recognition system based on DSP
下载PDF
导出
摘要 为了在嵌入式系统中实现实时视频图像人民币号码识别,提出了基于TI系列TMS320DM642的快速人脸检测系统设计方案,包括系统软件和硬件的方案。首先,详细介绍了人民币编号图像提取与识别,针对该算法实现原理阐述硬件平台上的算法移植和优化方案,最后,实现了嵌入式快速人民币号码识别系统的研制。通过分析测试结果,系统可靠运行,优化后系统运行速度提高,能够实现实时人民币号码识别。 In order to reafize the rea-I time serial number recognition system in video by embedded system,the design scheme of serial number recognition system based on TI TMS320DM642 was presented,including both hardware and software.Firstly,the algorithm of extract and recognize the image of RMB serial number was introduced in detail,then according to the algorithm,the algorithm was transplanted onto the hardware system,then the optimization policy was applied.Finally,the fast embedded RMB serial number recognition system was implemented.The experimental results demonstrate the system works reliably,the running speed of algorithm was improved markedly,and real-time RMB serial number recognition was realized.
出处 《电子世界》 2014年第1期147-149,共3页 Electronics World
基金 2012年上海市大学生创新创业训练计划项目"人民币编号快速识别技术研究"(项目编号:SH2012032)
关键词 TMS320DM642 序列号识别 优化 TMS320DM642 serial numberrecognition optimization
  • 相关文献

参考文献10

  • 1LI W H,TIAN W J,CAO X Y. Application of Support Vector Machine(SVM)on Serial Number Identification of RMB[A].Jinan,China:IEEE Press,2010.6262-6266.
  • 2GAI S,LIU P,LIU J F. The Design of HMM-Based Banknote Recognition System[A].Shanghai,China:IEEE Press,2009.106-110.
  • 3苑玮琦,张昱.纸币号码快速识别系统[J].计算机工程,2005,31(24):153-155. 被引量:14
  • 4HASSANPOUR H,PAYAM M F. Using Hidden Markov Models for Paper Currency Recognition Original[J].Expert Systems with Applicatio ns,2009,(6):10105-10111.
  • 5HE K X,PENG S R,LI S T. A Classiifcation Method for the Dirty Factor of Banknotes Based on Neural Network with Sine Basis Functions[A].Hunan,China:IEEE Press,2008.159-162.
  • 6GAO Q,WANG X,XIE G. License plate recognition based on prior knowledge[A].Jinan,China:IEEE Press,2007.2964-2968.
  • 7李旭超,朱善安.图像分割中的马尔可夫随机场方法综述[J].中国图象图形学报,2007,12(5):789-798. 被引量:63
  • 8JIA W J,HE X J,WU Q. Segmenting Characters from License Plate Images with Little Prior Knowledge[A].NSW:IEEE Press,2010.220-226.
  • 9SUN B Q,LI J L. The Recognition of New and Old Banknotes Based on SVM[J].Intel igent Information Technology Application,2008,(7):95-98.
  • 10FANC V,HLAVAC V. License plate character segmentation using hidden Markov chains[J].{H}Lecture Notes in Computer Science,2005,(9):385-392.

二级参考文献59

  • 1姚玉花,成瑜.一种身份证扫描图像的二值化方法[J].机械制造与自动化,2002,12(5):65-68. 被引量:2
  • 2章毓晋.图像处理和分析(第1版)[M].北京:清华大学出版社,1999..
  • 3Trie O D, Jain A K, Torfinn Taxt. Feature Extraction Methods for Character Recognition-A Survey[J]. Pattern Recogniton, 1996,29(4): 641-662.
  • 4Takeda F, Omatu S. High Speed Paper Currency Recognition by Neural Networks[J].IEEE Trans. on Neural Network, 1995, 6(1):73-77.
  • 5Kato N, Omachi S C. A Handwriting Character Recognition System Using Directional Element Feature[J].IEEE Trans. on Pattern Analysis and Machine Intelligence, 1999, 21(3): 258-262.
  • 6Zhou W T,Song C Z.Image segmentation by data-driven markov chain monte carlo[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):657 ~673.
  • 7Bouman C A,Shapiro M.A multiscale random field model for Bayesian image segmentation[J].IEEE Transactions on Image Processing,1994,3(2):162 ~177.
  • 8Kam A H,Fitzgerald W J.General unsupervised multiscale segmentation of images[A].In:Proceedings of Conference Record of the Thirty-third Asilomar on Signals,Systems,and Computers[C],Pacific Grove,CA,USA,1999,1:63~67.
  • 9Laferte J M,Perez P,Heitz F.Discrete Markov image modeling and inference on the quadtree[J].IEEE Transactions on Image Processing,2000,9(3):390 ~404.
  • 10Choi H,Baraniuk R G.Multiscale image segmentation using waveletdomain hidden markov models[J].IEEE Transactions on Image Processing,2001,10(9):1309 ~ 1321.

共引文献74

同被引文献6

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