Numberplate detection using double segmentation

Authors:
Pei Li;James Connan
Affiliations:
University of the Western Cape, Bellville, South Africa;University of the Western Cape, Bellville, South Africa
Venue:
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Year:
2010

Citing 4
Cited 0

Projection based method for segmentation of human face and its evaluation

Pattern Recognition Letters
License Plate Extraction in Low Resolution Video

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
An Efficient Features - Based License Plate Localization Method

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Optimization based grayscale image colorization

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

Numberplate detection plays an important role in public transportation systems. Before numberplate detection can be performed, the region of interest that contains the numberplate needs to be determined. This paper presents a novel approach to detecting numberplates in a video sequence by multi-segmentation. The first segmentation determines the approximate location of the numberplate by determining the distance between each of the letters and numbers found on the number plate. This feature is unique to numberplates and therefore provides an excellent starting point in detecting numberplates. The second segmentation focuses on the region of interest provided by the first segmentation. This includes edge detection and, a horizontal and vertical projection function that determines the boundary of the numberplate.