DocumentCode
260236
Title
Algorithms for licenseplate detection: A survey
Author
Farajian, Nima ; Rahimi, Morteza
Author_Institution
Eng. Dept., Eyvanekey Inst. of Higher Educ., Eyvanekey, Iran
fYear
2014
fDate
26-27 Nov. 2014
Firstpage
1
Lastpage
8
Abstract
To identify a vehicle, License Plate identification technology is the key technology of intelligent transport system, finding a stohn vehicle, monitoring traffic flow, in town management, highway tolls etc. The major issue in such applications is to detect the exact location of plate, because finding the location of number plate could vary and as well as its size and color; many of the vehicles have an uncertain difference in License plate position, location and unclean License Plate. In this paper we have conducted a very fresh survey of most authentic techniques of license plate detection from a car, we studied different techniques and compared them; we figured out every technique has its own limitations, every method gives best results under some certain conditions so do bad results, we figured out all we need to do is to have locus of control, we shall control theenvironment we are working in, some techniques works good in dark light, some for bright light etc; every technique has its own parameters to identify license plate; this paper will lead you to choose the best technique for detection just according to your circumstance.
Keywords
image recognition; object detection; car license plate; license plate detection algorithms; license plate identification; Biological neural networks; Histograms; Image color analysis; Image edge detection; Licenses; Transforms; Vehicles; ANN (artificial neural networks); DWT (Discrete wavelet transform); License plate detection; Morphological Operator;
fLanguage
English
Publisher
ieee
Conference_Titel
Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
Conference_Location
Mashhad
Type
conf
DOI
10.1109/ICTCK.2014.7033529
Filename
7033529
Link To Document