Title :
Automatic licence plate recognition system
Author :
Aghdasi, F. ; Ndungo, H.
Abstract :
A machine vision system designed to recognize Botswana license plates is presented. The system has an average processing time of about 2.41 seconds. The techniques used to perform the detection and recognition are: colour filtering; Niblack binarisation; blob selection; segmentation; template matching; neural networks; Euler number; positional checks
Keywords :
computer vision; image colour analysis; image matching; image segmentation; neural nets; object detection; object recognition; Botswana license plates; Euler number; Niblack binarisation; automatic licence plate recognition system; blob selection; colour filtering; machine vision system; neural networks; positional checks; segmentation; template matching; Filtering; Humans; Image converters; Licenses; Machine vision; Matched filters; Neural networks; Pixel; Standards development; Vehicles;
Conference_Titel :
AFRICON, 2004. 7th AFRICON Conference in Africa
Conference_Location :
Gaborone
Print_ISBN :
0-7803-8605-1
DOI :
10.1109/AFRICON.2004.1406631
