Research Article

Automatic License Plate Recognition System using SURF Features and RBF Neural Network

by  Abhay Chaturvedi, Nidhi Sethi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Issue 27
Published: May 2013
Authors: Abhay Chaturvedi, Nidhi Sethi
10.5120/12243-8524
PDF

Abhay Chaturvedi, Nidhi Sethi . Automatic License Plate Recognition System using SURF Features and RBF Neural Network. International Journal of Computer Applications. 70, 27 (May 2013), 37-41. DOI=10.5120/12243-8524

                        @article{ 10.5120/12243-8524,
                        author  = { Abhay Chaturvedi,Nidhi Sethi },
                        title   = { Automatic License Plate Recognition System using SURF Features and RBF Neural Network },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 70 },
                        number  = { 27 },
                        pages   = { 37-41 },
                        doi     = { 10.5120/12243-8524 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Abhay Chaturvedi
                        %A Nidhi Sethi
                        %T Automatic License Plate Recognition System using SURF Features and RBF Neural Network%T 
                        %J International Journal of Computer Applications
                        %V 70
                        %N 27
                        %P 37-41
                        %R 10.5120/12243-8524
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated License plate recognition is technology used in traffic management techniques allowing us to recognize identity of a vehicle through its registration plate information usually by videos or still images. It can be used for Parking assistance, automatic toll collection, vehicle theft management etc for improving manual traffic management error rate . In this paper we are proposing a method for implementing Automatic License Plate Recognition using Speed up robust feature matching SURF technique for plate detection and Advanced Radial basis function for matching characters. Simulation through popular tool Matlab ver 2011 shows 95% correctly detected plates and over 90% of character matching. .

References
  • Hakan Caner, H. Selcuk Gecim, and Ali Ziya Alkar" Ef?cient Embedded Neural-Network-Based License Plate Recognition System ". IEEE Transactions 2008
  • Muhammed tahir, Muhammad Asif "Automatic number plate recognition system for vehicle Identification using optical character recognition" IEEE 2009
  • Bih-Yaw Shih, Chen-Yuan Chen and Jin-Wei Kuo Po-Wei Chen"A Preliminary Study on Design and Development of Template-Based for License Plate Recognition System Applying Artificial Coordinates Auxiliary Techniques" IEEE Proceedings 2010
  • Sz. Pletl and Cs. Gálfi " Parking surveillance and number plate recognition application"IEEE 2010
  • Zhiwen WANG , Shaozi Li " Research and Implement for Vehicle License Plate Recognition Based onimproved BP Network" International Conference on Computer and Communication Technologies in Agriculture EngineeringIEEE 2010
  • Song Qing-kun et. all". License Plate Recognition Based On Mathematical Morphology Method and RBF Neural Network", 2012 1ntemational Conference on Measurement, Information and Control (M1C)
  • Chen,S. , C. F. N. Cowan, and P. M. Grant, "Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks," IEEE Transactions on Neural Networks, Vol. 2, No. 2, March 1991, pp. 302–309.
  • http://www. medialab. ntua. gr/research/LPRdatabase. html
  • http://vision. ucsd. edu/belongiegrp/research/carRec/car_data. html
  • "V. Koval,V. Turchenko,V. Kochan,A. Sachenko,G. Markowsky" ,Smart License Plate Recognition System Based on Image Processing Using Neural Network. IEEE International Workshop on Intelligent Data acquisition and Advanced Computing Systems: Technology and Applications 8-10 September 2003.
  • "Yo-Ping Huang, Chien-Hung Chen, Yueh-Tsun Chang, Frode Eika Sandnes" ,An intelligent strategy for checking the annual inspection status of motorcycles based on license plate recognition',2008
  • Ankush Roy, Debarshi Patanjali GhoshalNumber "Plate Recognition for Use in Different Countries Using an Improved Segmentation' ,IEEE 2011
  • "Hongliang, B,Changping,L". A Hybrid License Plate Extraction Method Based on Edge Statistics and Morphology. In Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, 23–26 August 2004
  • "Siddhartha Choubey "Pixel Distribution Density based character recognition For Vehicle License Plate.
  • Bal´azs Enyedi,LajosKonyha,K´alman Fazekas "Real time number plate localization algorithms" Journal of ELECTRICAL ENGINEERING 2006
  • Martin H. Luerssen "Character Recognition with Neural Networks"
  • Mark Hudson Beale,MartinT. Hagan,Howard B. Demuth," Neural Network Toolbox™ User's Guide" MATLAB
  • "Gérard. Blanchet,Maurice. Charbit "Digital Signal and Image Processing using MATLAB"
  • Per Christian Henden "A Comparison of Thresholding Methods"2004
  • RafaelC. Gonzalez,RichardE. Woods,StevenL. E"Image Processing using Matlab
  • http://en. wikipedia. org/wiki/Artificial_neural_network
  • http://www. mathworks. com/access/helpdesk/help/pdf_doc/nnet/nnet. pdf, MATLAB and Simulink Neural Network Toolbox Manual.
  • H. Bay, T. Tuytelaars, and L. Van Gool. " Surf: Speeded up robust features". European Conference on Computer Vision, 1:404{417, 2006).
  • K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell. , 27(10):1615{1630, 2005}.
  • D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91{110, 2004). vision. ece. ucsb. edu/zulani
  • Auranuch Lorsakul and Jackrit SuthakornTraffic Sign Recognition Using Neural Network on OpenCV: Toward Intelligent Vehicle/Driver Assistance System
  • Herbert Bay,Andreas Ess"Speeded-Up Robust Features (SURF)",Computer vision and Image Understanding ,Elsevier
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

ANN Neural RBF ALPR LPR recognition Computer vision Radial basis function Matlab Ransac SURF Newrb automatic toll collection Traffic management Segmentation

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