Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 183-186.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

License Plate Recognition Method Based on GMP-LeNet Network

LIN Zhe-cong,ZHANG Jiang-xin   

  1. School of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China
    Zhejiang Communication of Technology Research Laboratory,Hangzhou 310023,China
  • Online:2018-06-20 Published:2018-08-03

CLC Number: 

  • TP181
[1]马爽,樊养余,雷涛,等.一种基于多特征提取的实用车牌识别方法[J].计算机应用研究,2013,30(11):3495-3499.
[2]王晓雪,苏杏丽.数字图像处理在车牌识别中的应用[J].自动化仪表,2010,31(7):22-25.
[3]陈玮,曹志广,李剑平.改进的模板匹配方法在车牌识别中的应用[J].计算机工程与设计,2013,13(5):1808-1811.
[4]KIM K B,CHO J H.Recognition System of Car License Plate using Fuzzy Neural Networks[J].Journal of the Korea Society of Computer and Information,2007,12(5):313-319.
[5]MAHDI A,FATEMEH S,TABARI Z,et al.Automatic Iranian Vehicle License Plate Recognition System Based on Support Vector Machine (SVM) Algorithms[J].Computer Engineering and Applications Journa,2013,2(1):161-174.
[6]陈扬.数字图像模式识别在车牌自动识别中的应用研究[D].天津:天津大学,2017.
[7]ABDULLAH S N H S,KHALID M,YUSOF R,et al.License Plate Recognition using Multiclusterand Multilayer Neural Networks[J].Information and Communication Tecimologies,2006,1:1818-1823.
[8]HE S,YANG C,PAN J S.The Research of Chinese License Plates Recognition Based on CNN and Length Feature[M]∥Trends in Applied Knowledge-Based Systems and Data Science.Springer International Publishing,2016:389-397.
[9]AHRANJANY S S,RAZZAZI F.A Very High Accuracy Handwritten Character Recognition System forFarsi/Arabic Digits Using Convolutional Neural Networks[C]∥Liverpool:International Conference on Bio-Inspired Computing.2010:1585-1592.
[10]赵志宏,杨绍普,马增强.基于卷积神经网络LeNet-5的车牌字符识别研究[J].系统仿真学报,2010,22(3):638-641.
[11]张立,朱玉全,陈耿.基于卷积神经网络SLeNet-5的车牌识别方法[J].信息技术,2014,11:7-11.
[12]LIU Y J,HUANG H.Car Plate Character Recognition Using a Convolutional Neural Network with Shared HiddenLayers[C]∥Chinese Automation Congress.Wuhan,2015:638-643.
[13]YUAN A Q,BAI G,JIAO L J.Offline Handwritten English Character Recognitionbased on Convolutional Neural Network[C]∥International Workshop on Document Analysis Systems.Toronto,2012:125-129.
[14]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks[C]∥International Conference on Neural Information Processing Systems.Curran Associates Inc.2012:1097-1105.
[15]LIN M,CHEN Q,YAN S C.Network In Network[D].Banff:International Conference on Learning Representations,2014:1-10.
[16]刘万军,梁雪剑,曲海成.不同池化模型的卷积神经网络学习性能研究[J].中国图象图形学报,2016,21(9):1178-1190.
[17]郭荣艳,胡雪惠.BP神经网络在车牌字符识别中的应用研究[J].计算机仿真,2010(9):299-301.
[1] ZHANG Ying-tao, ZHANG Jie, ZHANG Rui, ZHANG Wen-qiang. Photorealistic Style Transfer Guided by Global Information [J]. Computer Science, 2022, 49(7): 100-105.
[2] MENG Yue-bo, MU Si-rong, LIU Guang-hui, XU Sheng-jun, HAN Jiu-qiang. Person Re-identification Method Based on GoogLeNet-GMP Based on Vector Attention Mechanism [J]. Computer Science, 2022, 49(7): 142-147.
[3] ZHU Wen-tao, LAN Xian-chao, LUO Huan-lin, YUE Bing, WANG Yang. Remote Sensing Aircraft Target Detection Based on Improved Faster R-CNN [J]. Computer Science, 2022, 49(6A): 378-383.
[4] SUN Jie-qi, LI Ya-feng, ZHANG Wen-bo, LIU Peng-hui. Dual-field Feature Fusion Deep Convolutional Neural Network Based on Discrete Wavelet Transformation [J]. Computer Science, 2022, 49(6A): 434-440.
[5] ZHAO Lu, YUAN Li-ming, HAO Kun. Review of Multi-instance Learning Algorithms [J]. Computer Science, 2022, 49(6A): 93-99.
[6] WANG Shan, XU Chu-yi, SHI Chun-xiang, ZHANG Ying. Study on Cloud Classification Method of Satellite Cloud Images Based on CNN-LSTM [J]. Computer Science, 2022, 49(6A): 675-679.
[7] XU Tao, CHEN Yi-ren, LYU Zong-lei. Study on Reflective Vest Detection for Apron Workers Based on Improved YOLOv3 Algorithm [J]. Computer Science, 2022, 49(4): 239-246.
[8] LI Si-quan, WAN Yong-jing, JIANG Cui-ling. Multiple Fundamental Frequency Estimation Algorithm Based on Generative Adversarial Networks for Image Removal [J]. Computer Science, 2022, 49(3): 179-184.
[9] LIU Yang, LI Fan-zhang. Fiber Bundle Meta-learning Algorithm Based on Variational Bayes [J]. Computer Science, 2022, 49(3): 225-231.
[10] HU Yan-li, TONG Tan-qian, ZHANG Xiao-yu, PENG Juan. Self-attention-based BGRU and CNN for Sentiment Analysis [J]. Computer Science, 2022, 49(1): 252-258.
[11] LI Shan, XU Xin-zheng. Parallel Pruning from Two Aspects for VGG16 Optimization [J]. Computer Science, 2021, 48(6): 227-233.
[12] ZHAN Rui, LEI Yin-jie, CHEN Xun-min, YE Shu-han. Street Scene Change Detection Based on Multiple Difference Features Network [J]. Computer Science, 2021, 48(2): 142-147.
[13] DONG Hu-sheng, ZHONG Shan, YANG Yuan-feng, SUN Xun, GONG Sheng-rong. Person Re-identification by Region Correlated Deep Feature Learning with Multiple Granularities [J]. Computer Science, 2021, 48(12): 269-277.
[14] CHEN Hao-nan, LEI Yin-jie, WANG Hao. Lightweight Lane Detection Model Based on Row-column Decoupled Sampling [J]. Computer Science, 2021, 48(11A): 416-419.
[15] WANG Xin-ping, XIA Chun-ming, YAN Jian-jun. Sign Language Recognition Based on Image-interpreted Mechanomyography and Convolution Neural Network [J]. Computer Science, 2021, 48(11): 242-249.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!