Title :
Algorithms for licenseplate detection: A survey
Author :
Farajian, Nima ; Rahimi, Morteza
Author_Institution :
Eng. Dept., Eyvanekey Inst. of Higher Educ., Eyvanekey, Iran
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;
Conference_Titel :
Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
Conference_Location :
Mashhad
DOI :
10.1109/ICTCK.2014.7033529