NDLI: Efficient and unified license plate recognition via lightweight deep neural network

Content Provider	IET Digital Library
Author	Qin, Shuxin Liu, Sijiang
Abstract	In this study, the authors are interested in building a unified deep learning framework to solve the recognition problem of both single-line and double-line car license plates. Most existing methods are designed for single-line license plate recognition. For double-line cases, detection and segmentation are usually adopted firstly to locate each line of characters. These methods are usually environmentally sensitive and will bring propagation of error between segmentation and recognition. To solve the problems, the authors propose a unified method that can recognise both single-line and double-line license plates in an end-to-end way without line segmentation and character segmentation. Specifically, an improved lightweight convolutional neural network is used to extract features efficiently. Then, the multi-task learning strategy is used to simultaneously perform license plate classification and character recognition. Finally, recognition task is treated as sequence labelling problems, which are solved by connectionist temporal classification directly. Experimental results indicate that the proposed method significantly outperforms the previous state-of-the-art methods on both public datasets and the synthetic dataset.
Starting Page	4102
Ending Page	4109
Page Count	8
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 16, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.1130
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/16
Journal	IET Image Processing
Publisher Date	2020-12-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Character Recognition Character Segmentation Computer Vision And Image Processing Technique Convolutional Neural Nets Double-line Car License Plates Double-line Cases Double-line License Plates Feature Extraction Image Classification Image Recognition Image Segmentation Image Sequence Improved Lightweight Convolutional Neural Network Learning in AI License Plate Classification Lightweight Deep Neural Network Line Segmentation Multitask Learning Strategy Recognition Problem Recognition Task Sequence Labelling Problem Single-line License Plate Recognition Traffic Engineering Computing Unified Deep Learning Framework Unified License Plate Recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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