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Author:

Wang, W. (Wang, W..) (Scholars:王伟)

Indexed by:

Scopus

Abstract:

For the disadvantage of high cost and poor practicability of traditional license plate recognition technology based on PC, apply this technology on the ZYNQ to implement the hardware acceleration of the license plate recognition algorithm. The platform consists of programmable logic (PL)and a processing system (PS). The hardware acceleration of the algorithm of license plate location is completed through the part PL; On the PS runs the Linux system. In terms of license plate recognition algorithm, we use the edge detection algorithm, vertical projection method and template matching method respectively for the location of license plate image, character segmentation and recognition. Finally, it implement the Hardware acceleration of license plate recognition and reduce the time for the license plate recognition algorithm. © 2017 IEEE.

Keyword:

Algorithm; Embedded; Hardware acceleration; License plate recognition

Author Community:

  • [ 1 ] [Wang, W.]Beijing Engineering Research Center for IoT Software and Systems, School of Software Engineering, BJUT, Beijing, China

Reprint Author's Address:

  • 王伟

    [Wang, W.]Beijing Engineering Research Center for IoT Software and Systems, School of Software Engineering, BJUTChina

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Source :

Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017

Year: 2017

Page: 2679-2683

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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