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CLC number: TP391.41

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.12 P.2005-2016

http://doi.org/10.1631/jzus.2007.A2005


Implementing VLPR systems based on TMS320DM642


Author(s):  ZHU Le-qing, ZHANG San-yuan, YE Xiu-zi

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   zlq_26@163.com

Key Words:  License Plate Recognition (LPR), Embedded system, Image processing, DSP, DM642


ZHU Le-qing, ZHANG San-yuan, YE Xiu-zi. Implementing VLPR systems based on TMS320DM642[J]. Journal of Zhejiang University Science A, 2007, 8(12): 2005-2016.

@article{title="Implementing VLPR systems based on TMS320DM642",
author="ZHU Le-qing, ZHANG San-yuan, YE Xiu-zi",
journal="Journal of Zhejiang University Science A",
volume="8",
number="12",
pages="2005-2016",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A2005"
}

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%T Implementing VLPR systems based on TMS320DM642
%A ZHU Le-qing
%A ZHANG San-yuan
%A YE Xiu-zi
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%N 12
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A2005

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T1 - Implementing VLPR systems based on TMS320DM642
A1 - ZHU Le-qing
A1 - ZHANG San-yuan
A1 - YE Xiu-zi
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SP - 2005
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2007.A2005


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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