Paper Info
Title
Car License Plate Detection under Large Variations Using Covariance and HOG Descriptors.
Abstract
This paper presents a novel method that can detect license plates which have large variations including perspective distortion, size variation, blurring. Spatial combinations of covariance descriptors in different positions are used with feed-forward network to extract plate-like region and HOG descriptor is used with LDA for validation. From this method, we could achieve high detection rate 94% while maintaining low FPPW(2.5(-6)) in road view image.
Year
DOI
Venue
2012
10.1007/978-3-642-33191-6_63
ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT II
DocType
Volume
ISSN
Conference
7432
0302-9743
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Jongmin Yoon1153.36
Bongnam Kang2386.34
Daijin Kim31882126.85