Conference paper

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/
Publication language:english
Original title:Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data
Title (cs):Holistické rozpoznávání registračních značek vozidel na snímcích s nízkou kvalitou pomocí konvoluční neuronové sítě
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
Place:Lecce, IT
Year:2017
URL:http://ieeexplore.ieee.org/abstract/document/8078501/
ISBN:978-1-5386-2939-0
Publisher:IEEE Computer Society
Keywords
holistic license plate recognition, convolutional neural network, low resolution, low quality
Annotation


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.
BibTeX:
@INPROCEEDINGS{
   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},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11491}
}

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