Please wait a minute...
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (12): 2005-2016    DOI: 10.1631/jzus.2007.A2005
Electrical & Electronic Engineering     
Implementing VLPR systems based on TMS320DM642
ZHU Le-qing, ZHANG San-yuan, YE Xiu-zi
School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  This paper gives a practical schema for using DSP boards to construct Vehicle License Plate Recognition (VLPR) modules that could be embedded in any Intelligent Transportation System (ITS). Using DSP can avoid the heavy investment in dedicated VLPR system and improve the computational power compared to PC software environment. Low cost, high computational power, and high flexibility of DSP provide the License Plate Recognition System (LPRS) an excellent cost-effective solution to execute the major part of the recognition tasks. This paper describes a successful implementation of VLPR system based on Texas Instruments (TI)’s TMS320DM642. The DSP board acquires video (which could be output to a monitor for surveillance) from a camera, captures images from the video, locates and recognizes the license plates in images, and then sends the recognized results and related images after compression to a host PC through the network. Finally, the overall software is optimized according to the features of DM642 chip. Experiments showed that the DSP VLPR system performs well on the local license plates, and that the processing speed and accuracy can meet the requirement of practical applications.

Key wordsLicense Plate Recognition (LPR)      Embedded system      Image processing      DSP      DM642     
Received: 31 January 2007     
CLC:  TP391.41  
Cite this article:

ZHU Le-qing, ZHANG San-yuan, YE Xiu-zi. Implementing VLPR systems based on TMS320DM642. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(12): 2005-2016.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A2005     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I12/2005

[1] Long Yan, Qing-xiang Meng, Wei-ya Xu, Huan-ling Wang, Qiang Zhang, Jiu-chang Zhang, Ru-bin Wang. A numerical method for analyzing the permeability of heterogeneous geomaterials based on digital image processing[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2017, 18(2): 124-137.
[2] Abolfazl HALVAEI NIASAR, Abolfazl VAHEDI, Hassan MOGHBELLI. Low-cost sensorless control of four-switch, brushless DC motor drive with direct back-EMF detection[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(2): 201-208.
[3] LIU Gang, LÜ Xue-qin. Performance measure for image fusion considering region information[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(4): 559-562.
[4] ZHANG Wei, LIU Peng, ZHAI Zhi-bo. A hardware/software co-optimization approach for embedded software of MP3 decoder[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(1 ): 7-.
[5] GAO Shu, GUO Qing-ping. Parallel programming characteristics of a DSP-based parallel system[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(10): 7-.
[6] SHIH Timothy K., CHANG Rong-chi. Super-resolution inpainting[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 6): 2-.
[7] TUO Hong-ya, LIU Yun-cai. A two-step rectification algorithm for airborne linear images with POS data[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 6): 3-.
[8] ZHU Z.Q., SHI Y.F., HOWE D.. Influence of DSP controller on performance of a permanent magnet brushless AC drive in flux-weakening mode[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 2): 2-.
[9] CAI Liang, YANG Xiao-hu, DONG Jin-xiang. Building a highly available and intrusion tolerant database security and protection system (DSPS)[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2003, 4(3): 287-293.
[10] WANG Hong-yu, LI Hong-dong, YE Xiu-qing, GU Wei-kang. TRAINING A NEURAL NETWORK FOR MOMENT BASED IMAGE EDGE DETECTION[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2000, 1(4): 398-401.