A survey of convolutional neural networks: analysis, applications, and prospects
A convolutional neural network (CNN) is one of the most significant networks in the deep
learning field. Since CNN made impressive achievements in many areas, including but not …
learning field. Since CNN made impressive achievements in many areas, including but not …
Gan-siamese network for cross-domain vehicle re-identification in intelligent transport systems
The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
Towards end-to-end license plate detection and recognition: A large dataset and baseline
Most current license plate (LP) detection and recognition approaches are evaluated on a
small and usually unrepresentative dataset since there are no publicly available large …
small and usually unrepresentative dataset since there are no publicly available large …
License plate recognition methods employing neural networks
Advances in both parallel processing capabilities because of graphical processing units
(GPUs) and computer vision algorithms have led to the development of deep neural …
(GPUs) and computer vision algorithms have led to the development of deep neural …
An efficient and layout‐independent automatic license plate recognition system based on the YOLO detector
This paper presents an efficient and layout‐independent Automatic License Plate
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …
Multinational license plate recognition using generalized character sequence detection
Automatic license plate recognition (ALPR) is generally considered a solved problem in the
computer vision community. However, most of the current works on ALPR are designed to …
computer vision community. However, most of the current works on ALPR are designed to …
Vehicle re-identification: an efficient baseline using triplet embedding
In this paper we tackle the problem of vehicle re-identification in a camera network utilizing
triplet embeddings. Re-identification is the problem of matching appearances of objects …
triplet embeddings. Re-identification is the problem of matching appearances of objects …
A light CNN for end-to-end car license plates detection and recognition
W Wang, J Yang, M Chen, P Wang - IEEE Access, 2019 - ieeexplore.ieee.org
License Plate Recognition (LPR) is of great significance due to its wide range of applications
in the Intelligent Transportation System (ITS). It is an important and challenging research …
in the Intelligent Transportation System (ITS). It is an important and challenging research …
Rethinking and designing a high-performing automatic license plate recognition approach
In this paper, we propose a real-time and accurate automatic license plate recognition
(ALPR) approach. Our study illustrates the outstanding design of ALPR with four insights:(1) …
(ALPR) approach. Our study illustrates the outstanding design of ALPR with four insights:(1) …
A flexible approach for automatic license plate recognition in unconstrained scenarios
Automatic License Plate Recognition is a crucial task for several applications related to
Intelligent Transportation Systems, from access control to traffic monitoring. Most existing …
Intelligent Transportation Systems, from access control to traffic monitoring. Most existing …