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http://dx.doi.org/10.13067/JKIECS.2020.15.2.299

The study of Authorized / Unauthorized Vehicle Recognition System using Image Recognition with Neural Network  

Yoon, Chan-Ho (SINWOO 103)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.15, no.2, 2020 , pp. 299-306 More about this Journal
Abstract
Image recognition using neural networks is widely used in various fields. In this study, we investigated licensed / unlicensed vehicle recognition systems necessary for vehicle number recognition and control when entering and exiting a specific area. This system is equipped with the function of recognizing the image, so it checks all the information on the vehicle number and adds the function to accurately recognize the vehicle number plate. In addition, it is possible to check the vehicle number more quickly using a neural network.
Keywords
Neural Network; OpenCV; Image Processing; ROI; OCR; ALPR; AI;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 J. Cho and H. Yang, "A Car License Plate Recognition Using Colors Information, Morphological Characteristic and Neural Network," J. of the Korea Institute of Electronic Communication Sciences, vol. 5, no. 3, 2014, pp. 304-308.
2 K. Kim, Y. Woo, and C. Park, "Recognition of a New Car License Plate Using HSI Information, Fuzzy Binarization and ART2 Algorithm," Journal of information and communication convergence engineering, vol. 11, no. 5, 20007, pp. 1004-1012.
3 J. Cho and K. Kim, "Recognition System of Car License Plate using Fuzzy Neural Networks," Journal of The Korea Society of Computer and Information, vol. 12, no. 5, 2014, pp. 313-319.
4 J. Song, "Improvement of Tracking Performance of Particle Filter in Low Frame Rate Video," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 2, 2014, pp. 143-148.   DOI
5 N. Kim and C. Hur. "Study on Performance Evaluation of Automatic license plate recognition program using Emgu CV," J. of the Korea Institute of Information and Communication Engineering, vol. 20, no. 6, 2016, pp. 1209-1214.   DOI
6 H. Park, and C. Bae, "An Efficient Vehicle Parking Detection Method Using Gray Scale Images," J. of the Korea Institute of Electronic Communication Sciences, vol. 6, no. 10, 2011, pp. 629-634.
7 C. Lee and H. Im, "A Low Power Parking Management System for Intelligent Building," J. of the Korea Institute of Electronic Communication Sciences, vol. 7, no. 6, 2012, pp. 1479-1485.   DOI
8 B. Zhong and S. Min, "A parking Management System Based on Wireless Sensor Network," Acta Automatica Sinica, vol. 32, no. 6, 2006, pp. 968-977.
9 J. Song, "Improvement of Tracking Performance of Particle Filter in Low Frame Rate Video," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 2, 2014, pp. 143-148.   DOI
10 K. Park and H. Kim, "A Study for Video-based Vehicle Surveillance on Outdoor Road," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 11, 2013, pp. 1647-1653.   DOI
11 C. Bae, J. Lee, and S. Cho, "Lane Detection Algorithm using Morphology and Color Information," J. of the institute of electronics & engineers, vol. 48, no. 6, 2011, pp. 15-24.
12 K. Jung and E. Kim, "Image Guidance System for Working with Abalone Park," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 3, 2014, pp. 369-375.   DOI