Publication Details

Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data

ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, HEROUT Adam, MARŠÍK Lukáš and ZEMČÍK Pavel. Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data. In: International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017). Lecce: IEEE Computer Society, 2017, pp. 1-6. ISBN 978-1-5386-2939-0. Available from: http://ieeexplore.ieee.org/abstract/document/8078501/
Czech title
Holistické rozpoznávání registračních značek vozidel na snímcích s nízkou kvalitou pomocí konvoluční neuronové sítě
Type
conference paper
Language
english
Authors
Špaňhel Jakub, Ing., Ph.D. (DCGM FIT BUT)
Sochor Jakub, Ing. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Maršík Lukáš, Ing. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

holistic license plate recognition, convolutional neural network, low resolution, low quality

Abstract



This work is focused on recognition of license plates in low resolution and low quality images. We present a methodology for collection of real world (non-synthetic) dataset of low quality license plate images with ground truth transcriptions. Our approach to the license plate recognition is based on a Convolutional Neural Network which holistically processes the whole image, avoiding segmentation of the license plate characters. Evaluation results on multiple datasets show that our method significantly outperforms other free and commercial solutions to license plate recognition on the low quality data. To enable further research of low quality license plate recognition, we make the datasets publicly available.

Published
2017
Pages
1-6
Proceedings
International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017)
Conference
Advanced Video and Signal Based Surveillance, 14th IEEE International Conference on, Lecce, IT
ISBN
978-1-5386-2939-0
Publisher
IEEE Computer Society
Place
Lecce, IT
DOI
10.1109/AVSS.2017.8078501
UT WoS
000426203700043
EID Scopus
2-s2.0-85039906342
BibTeX 
@INPROCEEDINGS{FITPUB11491,
   author = "Jakub \v{S}pa\v{n}hel and Jakub Sochor and Roman Jur\'{a}nek and Adam Herout and Luk\'{a}\v{s} Mar\v{s}\'{i}k and Pavel Zem\v{c}\'{i}k",
   title = "Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data",
   pages = "1--6",
   booktitle = "International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017)",
   year = 2017,
   location = "Lecce, IT",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5386-2939-0",
   doi = "10.1109/AVSS.2017.8078501",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11491"
}
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