Paper Info
Title
Car Plate Character Extraction and Recognition Using Stroke Analysis
Abstract
In this paper we address the issue of recognizing nonstandard Malaysian car license plates. These plates contain nonstandard characters such as italic, cursive and connected letters, which most plate recognition systems are unable to recognize. We propose a technique using stroke extraction and analysis to recognize these nonstandard characters. The proposed technique first extracts the contour of the character and then the stroke direction which are used for classification. The advantage of this method is that the system requires no training. From the experiments performed, the method has a correct recognition accuracy of 95% and even works with standard car plates.
Year
DOI
Venue
2010
10.1109/SITIS.2010.16
SITIS
Keywords
Field
DocType
nonstandard malaysian car license,recognition,proposed technique,correct recognition accuracy,character recognition,car plate character recognition,nonstandard character,standard car plate,feature extraction,stroke direction,object recognition,plate recognition system,malaysian car license plates,car plate character extraction,connected letter,extraction,stroke extraction,stroke analysis,car plate,classification algorithms,algorithm design and analysis,artificial neural networks,pixel
Computer vision,Cursive,Algorithm design,Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Pixel,Stroke extraction,Artificial neural network,Statistical classification,Cognitive neuroscience of visual object recognition
Conference
ISBN
Citations 
PageRank 
978-0-7695-4319-2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
S. Setumin100.34
U. U. Sheikh2113.28
S. A. R. Abu-Bakar3799.67