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A Scalable and Efficient Multi-Label CNN-Based License Plate Recognition on Spark

Weishan Zhang, Bing Xue, Jiehan Zhou, Xin Liu, Hao Lv
2018 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)  
This paper proposes a novel algorithm for scalable and efficient license plate recognition (SELPR).  ...  The SELPR algorithm first locates the license plate using a YOLO (You Look Only Once) network and recognizes the license plate using multi-label convolutional neural network (Multi-label CNN).  ...  A SELPR algorithm is designed based on deep learning for Chinese vehicle plate recognition.  ... 
doi:10.1109/smartworld.2018.00294 dblp:conf/uic/ZhangXZLL18 fatcat:z4jnudurcfekxov2tvvfi7i674

Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs [article]

Hui Li, Chunhua Shen
2016 arXiv   pre-print
Bounding box refinement is then carried out based on the edge information of the license plates, in order to improve the intersection-over-union (IoU) ratio.  ...  The proposed cascade framework extracts license plates effectively with both high recall and precision. Last, we propose to recognize the license characters as a sequence labelling problem.  ...  The authors are with School of Computer Science, The University of Adelaide, Australia; and Australian Centre for Robotic Vision. Correspondence should be addressed to C.  ... 
arXiv:1601.05610v1 fatcat:tdqowiz2lzfufcxfnxe7cdubze

Vehicle Number Plate Detection and Recognition Techniques: A Review

Shahnaj Parvin, Liton Jude Rozario, Md. Ezharul Islam
2021 Advances in Science, Technology and Engineering Systems  
However, vehicle number plate identification has always been a challenging task for some reasons, for example, brightness changes, vehicle shadows, and non-uniform license plate character type, various  ...  Vehicle number plate detection and recognition is an integral part of the Intelligent Transport System (ITS) as every vehicle has a number plate as part of its identity.  ...  In [26] , an existing system used for license plate location on a Raspberry Pi has been improved by the Yepez.  ... 
doi:10.25046/aj060249 fatcat:dcuo3yztmvcctjdf6vlmrqzljq

Minimizing Illumination Effect in License Plate Recognition

2021 Tehnički Vjesnik  
This study proposes a method using Faster region-based CNN (R-CNN) and denoising autoencoder technology to improve the recognition performance for tilted and broken plates and false recognition caused  ...  This study investigated 3,000 images collected from actual construction sites, comparing the proposed method with the existing Faster R-CNN for license plates affected by various illumination environments  ...  Hashmi [23] proposed a CNN-based structure for real-time license plate recognition that showed an accuracy of 85%.  ... 
doi:10.17559/tv-20201027064505 fatcat:iy4ooknlkna3fgh7bclhioyvj4

License Plate Recognition in Urban Road Based on Vehicle Tracking and Result Integration

Liping Zhu, Shang Wang, Chengyang Li, Zhongguo Yang
2019 Journal of Intelligent Systems  
Moreover, a plate detector based on an object detection framework is trained to detect license plates of each vehicle from the sequence and a license plate sequence is formed.  ...  The methodology we proposed is based on vehicle tracking and result integration, and we recognize the plate with an end-to-end method without character segmentation.  ...  The first step is to detect and track vehicles based on SSD algorithm. In addition, we apply a trained plate detector model also based on SSD to locate the license plates.  ... 
doi:10.1515/jisys-2018-0446 fatcat:s7meauempna3jepkorskbqtkne

Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment

Wang Weihong, Tu Jiaoyang
2020 IEEE Access  
, and make a prospect for the future research direction of license plate recognition.  ...  License plate recognition algorithm is a mature but imperfect technology.  ...  TABLE 6 . 6 Comparison of license plate recognition algorithms based on deep learning. 91672 TABLE 6 . 6 (Continued.) Comparison of license plate recognition algorithms based on deep learning.  ... 
doi:10.1109/access.2020.2994287 fatcat:7l72osyti5c77n6dnpjztknsdq

Super-Resolved Recognition of License Plate Characters

Sung-Jin Lee, Seok Bong Yoo
2021 Mathematics  
technique improves the accuracy of character recognition.  ...  In detail, we collected a number of license plate training images through web-crawling and artificial data generation, and the image super-resolution artificial neural network was trained by defining an  ...  In this context, character recognition consists of a license plate detector, which detects the area of a license plate in a vehicle image by passing the vehicle image to a CNN, and a character recognizer  ... 
doi:10.3390/math9192494 fatcat:5twp6ecndfg3nodkq5trytwq3y

Recognizing License Plates in Real-Time [article]

Xuewen Yang, Xin Wang
2022 arXiv   pre-print
We implement a complete LPDR system based on our algorithms. The experimental results demonstrate that our system can accurately recognize license plate in real-time.  ...  ; 2) a simple zero-one-alternation scheme to effectively remove the fake top and bottom borders around plates to facilitate more accurate segmentation of characters on plates; 3) a set of techniques to  ...  Based on the character features of license plates, we propose a zero-one-alternation method to correctly remove the unwanted borders for more accurate segmentation.  ... 
arXiv:1906.04376v4 fatcat:knujdsl4cnfytnezybv36glk3u

Automatic Vehicle License Plate Detection using K-Means Clustering Algorithm and CNN

Joy Iong Zong Chen
2021 Journal of Electrical Engineering and Automation  
In this paper, we present a vehicle license plate recognition model using convolutional neural network (CNN) and K-means clustering based segmentation.  ...  This methodology works on three major steps such as detection and segmentation using K-means clustering and recognition of the number in the license plate using CNN model.  ...  Using CNN has significantly improved character recognition value even in noisy and blurred images.  ... 
doi:10.36548/jeea.2021.1.002 fatcat:ocnpa7ymkbfnhpnibi3xqbyeka

Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition

Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang, Iouliia Skliarova
2021 Journal of Electrical and Computer Engineering  
Network- (CNN-) based license plate recognition algorithm-Fast-LPRNet is proposed.  ...  The algorithm—which has strong generalization ability, scalability, and robustness—performs license plate recognition on the FPGA hardware.  ...  character on the license plate.  ... 
doi:10.1155/2021/8592216 fatcat:vhacospidfdilacqj7ibmkzwsm

Automatic Fuzzy License Plate Recognition Based on Deep Learning

2017 DEStech Transactions on Computer Science and Engineering  
In view of this, a license plate character recognition algorithm based on convolutional neural network structure is proposed.  ...  At present, the clear license plate recognition algorithm has been mature, but for the blurred license plate which cannot be recognized by the human eye, the recognition rate of the traditional license  ...  License Plate Character Recognition Based on CNN LICENSE PLATE CHARACTER RECOGNITION PROCESS BASED ON CNN The license plate character recognition method based on CNN is composed of two parts: the first  ... 
doi:10.12783/dtcse/cii2017/17301 fatcat:iaefjmq72zd6jbogfoaj4i4l2u

Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks [article]

Icaro O. de Oliveira, Rayson Laroca, David Menotti, Keiko V. O. Fonseca, Rodrigo Minetto
2020 arXiv   pre-print
In the second stream, we use a CNN for optical character recognition (OCR) to extract textual information, confidence scores, and string similarities from a pair of high-resolution license plate patches  ...  This is an attempt to tackle a major problem, false alarms caused by vehicles with similar design or by very close license plate identifiers.  ...  Output TABLE 2 The 2 CNN-OCR architecture for license plate recognition as proposed by Silva and Jung [34] and improved by Laroca et al. [13] .  ... 
arXiv:1911.05541v2 fatcat:nl3qsef5lnhf7amhgtdxnq5ula


Siddhartha Roy, Calcutta University
2020 Azerbaijan Journal of High Performance Computing  
It is a process of recognizing number plates using Optical Character Recognition (OCR) on images.  ...  It is based on new computer vision algorithms of both number plate detection and character segmentation. The training needs several images to obtain greater accuracy.  ...  ( Selmi, Z., Halima, M.B., Alimi, A.M., 2017) proposed a CNN-based model for automatic license plate detection and recognition, which performs many pre-processing steps.  ... 
doi:10.32010/26166127.2020. fatcat:gytuaeha3va6nbziz3kvyr2s4q

Vehicle-Rear: A new dataset to explore feature fusion for vehicle identification using convolutional neural networks

Icaro O. de Oliveira, Rayson Laroca, David Menotti, Rodrigo Minetto, Keiko V. O. Fonseca
2021 IEEE Access  
ACKNOWLEDGMENTS We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPUs used for this research. We also thank all the support given by Curitiba's City Hall.  ...  information about the vehicle owner based on the license plate.  ...  [4] , such signature-based algorithms are complex and depend on complicated data models or extensive calibrations. Video-based algorithms have been proven essential for vehicle identification.  ... 
doi:10.1109/access.2021.3097964 fatcat:wpwxb4xae5hibl624t4mcq7pyu

Robust Automatic Recognition of Chinese License Plates in Natural Scenes

Ming-Xiang He, Peng Hao
2020 IEEE Access  
For example, [45] the using of a fully connected network for character recognition, [46] the using of CNNs for feature extraction, and [47] that of CNNs for character recognition in unconstrained  ...  With the development of DL in recent years, various CNN-based methods have been designed for scene character recognition.  ... 
doi:10.1109/access.2020.3026181 fatcat:q44hoaazv5dd7p4qaincqrannq
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