In this paper, a Convolutional neural network (CNN)-based license plate recognition system is designed. The recognition module uses the CNN+LSTM+CTC model to simplify the convolutional layer structure to adapt t
License Plate Recognition Model Based on CNN+LSTM+CTC Hangming Zhang1,Feng Sun1,Xiaopu Zhang1,and Lingling Zheng2(&)1College of Instrumentation and Electrical Engineering,Jilin University,Changchun130062,China 2The State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun130061...
Firstly, an improved neural network model is established by applying the improved convolutional neural network (CNN) algorithm to the license plate recognition system and based on the improved activation function, and the relevant experimental results are obtained; meanwhile compared with the traditional ...
A hybrid location-dependent ultra convolutional neural network-based vehicle number plate recognition approach for intelligent transportation systems 2023, Concurrency and Computation: Practice and Experience Tesseract OpenCV Versus CNN: A Comparative Study on the Recognition of Unified Modern Iraqi License Pl...
Model evaluated on approximately 100,000 images fromChinese City Parking Dataset (CCPD)of a provincial capital of China. Methodology and KPI The key performance indicator is the accuracy of license plate recognition. The accurate recognition means all the characters in a license plate are recognized ...
You can use CRNN for OCR, license plate recognition, text recognition, and so on. It depends on what data you are training. I used a slightly modified version of the original CRNN model. (Input size : 100x30 -> 128x64 & more CNN Layer) ...
[21]H. Seibel, S. Goldenstein and A. Rocha, Eyes on the target: Super-resolution and license-plate recognition in low-quality surveillance videos,IEEE Access5(2017), 20020–20035.10.1109/ACCESS.2017.2737418Search in Google Scholar [22]B. Shan, Vehicle license plate recognition based on text...
A License-Plate detecttion application based on YOLO deep-neural-networksdeep-learningyolovehiclesplate-detectionlicense-plate-recognitionyolov3 UpdatedNov 19, 2021 Python ankandrew/fast-plate-ocr Star119 Code Issues Pull requests Lightweight & fast OCR models for license plate text recognition. ...
Challenges of ship license plate (SLP) recognition: (a) fog interference, (b) tilt angle, and (c) small target in low resolution. To address these issues, we propose a Chinese SLP recognition method based on an improved CRNN pipeline. To accurately process those raw SLP images obscured by...
Jaderberg and colleagues [13] presented a CNN-based approach for text recognition in natural scenes using an entirely synthetic dataset to train the model. Despite the good results, they strongly rely on N-grams, which are not applicable to ALPR. Gupta et al. [7] also explored synthetic ...