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Chinese License Plate Recognition.

~

Tang, Kai.

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Chinese License Plate Recognition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Chinese License Plate Recognition./
Author:	Tang, Kai.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	85 p.
Notes:	Source: Masters Abstracts International, Volume: 57-06.
Contained By:	Masters Abstracts International57-06(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10823663
ISBN:	9780438049505

Chinese License Plate Recognition.
Tang, Kai.

Chinese License Plate Recognition. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 85 p.

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--State University of New York at Buffalo, 2018.

In recent years, the license plate recognition becomes more and more important in the intelligent transportation. The thesis promoted two different methods to deal with the Chinese license plate. The one is based on traditional image recognition. The other one is based on deep learning.

ISBN: 9780438049505Subjects--Topical Terms:

649834
Electrical engineering.

Chinese License Plate Recognition.
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020 $a 9780438049505
035 $a (MiAaPQ)AAI10823663
035 $a (MiAaPQ)buffalo:15797
035 $a AAI10823663
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tang, Kai. $3 1256049
245 1 0 $a Chinese License Plate Recognition.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 85 p.
500 $a Source: Masters Abstracts International, Volume: 57-06.
500 $a Advisers: Ping-Chin Cheng; Weifeng Su.
502 $a Thesis (M.S.)--State University of New York at Buffalo, 2018.
520 $a In recent years, the license plate recognition becomes more and more important in the intelligent transportation. The thesis promoted two different methods to deal with the Chinese license plate. The one is based on traditional image recognition. The other one is based on deep learning.
590 $a School code: 0656.
650 4 $a Electrical engineering. $3 649834
690 $a 0544
710 2 $a State University of New York at Buffalo. $b Electrical Engineering. $3 1019366
773 0 $t Masters Abstracts International $g 57-06(E).
790 $a 0656
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10823663

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