loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Abdelhalim Boutarfa 1 ; Mahfoud Hamada 1 and Emptoz Hubert 2

Affiliations: 1 University of Batna, Algeria ; 2 LIRIS, France

ISBN: 978-989-674-029-0

Keyword(s): Intelligent Transportation Systems, License plate, Feature extraction, Segmentation, Pattern Recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: To solve the problems of heavy traffic, due to the increase in the number of vehicles, modern cities need to establish effectively automatic systems for traffic monitoring and management. One of the most useful systems is the License-Plate Recognition System which captures images of vehicles and reads the plate’s registration numbers automatically. Our method in this paper presents a robust algorithm for segmenting and recognizing a vehicle license plate area from a road image. As preprocessing steps, we statistically analyze the features of some sample plate images, and compute thresholds for each feature to decide whether a pixel is inside a plate or we cannot decide it. Our methodology starts from constructing the binary version of a road image according to the thresholds. Then, we select at most three strong candidate areas by searching the binary image with a moving window. The plate area is selected among the candidates with simple heuristics. Our algorithm is stable and robust against the cases of plate transformation and/or decolorization. The experimental results show 98.05% of successful plate recognition for 256 input images. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.229.122.219

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Boutarfa A.; Hamada M.; Hubert E. and (2010). A METHOD FOR SEGMENTING AND RECOGNIZING A VEHICLE LICENCE PLATE FROM A ROAD IMAGE.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 413-419. DOI: 10.5220/0002840004130419

@conference{visapp10,
author={Abdelhalim Boutarfa and Mahfoud Hamada and Emptoz Hubert},
title={A METHOD FOR SEGMENTING AND RECOGNIZING A VEHICLE LICENCE PLATE FROM A ROAD IMAGE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={413-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002840004130419},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - A METHOD FOR SEGMENTING AND RECOGNIZING A VEHICLE LICENCE PLATE FROM A ROAD IMAGE
SN - 978-989-674-029-0
AU - Boutarfa, A.
AU - Hamada, M.
AU - Hubert, E.
PY - 2010
SP - 413
EP - 419
DO - 10.5220/0002840004130419

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.