A Review on License Plate Recognition with Experiments for Malaysia Case Study

Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. This paper reviews image processing and neural network techniques applied at different stages which are preprocessing, filtering, feature extraction, segmentation and recognition in such way to remove the noise of the image, to enhance the image quality and to expedite the computing process by converting the characters in the image into respective text. An exemplar experiment has been done in MATLAB to show the basic process of the image processing especially for license plate in Malaysia case study. An algorithm is adapted into the solution for parking management system. The solution then is implemented as proof of concept to the algorithm.

[1]  Jin-Ping Song,et al.  An Improved Mumford-Shah Model and Its Applications to Image Processing with the Piecewise Constant Level Set Method , 2007 .

[2]  Jun Liu,et al.  A Novel Color Image Segmentation Method Based on Improved Region Growing , 2012, AICI.

[3]  Karim Faez,et al.  A histogram-based segmentation method for characterization of self-assembled hexagonal lattices , 2011 .

[4]  Chaur-Chin Chen,et al.  Color images' segmentation using scale space filter and markov random field , 1992, Pattern Recognit..

[5]  Shih-Fu Chang,et al.  Hybrid object-based/block-based coding in video compression at very low bit-rate , 1997, Signal Process. Image Commun..

[6]  Xiao Wang,et al.  Markov random field modeled range image segmentation , 2004, Pattern Recognit. Lett..

[7]  Sambhunath Biswas,et al.  Segmentation based compression for graylevel images , 2003, Pattern Recognit..

[8]  Amir Nakib,et al.  Image histogram thresholding based on multiobjective optimization , 2007, Signal Process..

[9]  Lena Chang.  Multispectral image compression using eigenregion-based segmentation , 2004, Pattern Recognit..

[10]  Donggang Yu,et al.  Content-lossless document image compression based on structural analysis and pattern matching , 2000, Pattern Recognit..

[11]  Tien D. Bui,et al.  Text line segmentation in handwritten documents using Mumford-Shah model , 2009, Pattern Recognit..

[12]  Jing-Yu Yang,et al.  Content-based image retrieval using color difference histogram , 2013, Pattern Recognit..

[13]  Sei-Wang Chen,et al.  Automatic license plate recognition , 2004, IEEE Transactions on Intelligent Transportation Systems.

[14]  Emmanuel Adetiba,et al.  AUTOMATIC VEHICLE IDENTIFICATION SYSTEM USING LICENSE PLATE , 2011 .

[15]  Zhiyan Wang,et al.  Edge detection in the feature space , 1987, Image Vis. Comput..

[16]  Kumar Parasuraman,et al.  An Efficient Method for Indian Vehicle License Plate Extraction and Character Segmentation , 2010 .

[17]  Gonzalo Pajares,et al.  A segmentation method using Otsu and fuzzy k-Means for stereovision matching in hemispherical images from forest environments , 2011, Appl. Soft Comput..

[18]  Vincent Barra.  Robust segmentation and analysis of DNA microarray spots using an adaptative split and merge algorithm , 2006, Comput. Methods Programs Biomed..

[19]  Kai Xu,et al.  Image segmentation based on histogram analysis utilizing the cloud model , 2011, Comput. Math. Appl..

[20]  Chang-Lin Huang,et al.  Color images segmentation using scale space filter and Markov random field , 1992, Other Conferences.

[21]  Zoltan Kato,et al.  A Markov random field image segmentation model for color textured images , 2006, Image Vis. Comput..

[22]  Joan Serra,et al.  Image segmentation , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[23]  Dzulkifli Mohamad,et al.  On-line Handwritten Character Recognition: AnImplementation of Counterpropagation Neural Net , 2005 .

[24]  Erik Erlandson,et al.  Recognition System , 1999 .

[25]  Zhiwen Wang,et al.  Research and implement for vehicle license plate recognition based on improved BP network , 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering.

[26]  Michael Kuperberg,et al.  Markov Models , 2019, Earthquake Statistical Analysis through Multi-state Modeling.

[27]  E.D. Di Claudio,et al.  Car plate recognition by neural networks and image processing , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[28]  Alireza Ahmadyfard,et al.  An edge-based color-aided method for license plate detection , 2009, Image Vis. Comput..

[29]  S. G. Bhirud,et al.  Image Fusion of Digital Images , 2009 .

[30]  Atsushi Nakamura,et al.  Speech Recognition using Hidden Markov Models , 1998 .

[31]  Robert J. Bonneau,et al.  A Multiresolution Markov Approach to Model-Based Image Compression , 2001, Digit. Signal Process..

[32]  Pedro Real Jurado,et al.  Region-based segmentation of 2D and 3D images with tissue-like P systems , 2011, Pattern Recognit. Lett..

[33]  Michel Herbin,et al.  A 'no-threshold' histogram-based image segmentation method , 2002, Pattern Recognit..

[34]  Lambert Spaanenburg,et al.  Car license plate recognition with neural networks and fuzzy logic , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[35]  Alfonso Vitti,et al.  The Mumford-Shah variational model for image segmentation: An overview of the theory, implementation and use , 2012 .

[36]  Ragnar Nohre,et al.  Computer vision: Compress to comprehend , 1995, Pattern Recognit. Lett..

[37]  Alireza Khotanzad,et al.  Image segmentation by a parallel, non-parametric histogram based clustering algorithm , 1990, Pattern Recognit..

[38]  Peter J. W. Rayner,et al.  Unsupervised image segmentation using Markov random field models , 1997, Pattern Recognit..

[39]  S. Angelina,et al.  Image segmentation based on genetic algorithm for region growth and region merging , 2012, 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET).

[40]  Kenton Kroker,et al.  Biomedicine , 2008, The Lancet.

[41]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[42]  Volodymyr Turchenko,et al.  Smart license plate recognition system based on image processing using neural network , 2003, Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings.

[43]  Embiale Merkebu Tiruneh,et al.  Vehicle License Plate Registration Recognition System , 2013 .

[44]  Hyun Seung Yang,et al.  A systematic way for region-based image segmentation based on Markov Random Field model , 1994, Pattern Recognit. Lett..

[45]  Adel Said Elmaghraby,et al.  Combinatorial Optimization of the piecewise constant Mumford-Shah functional with application to scalar/vector valued and volumetric image segmentation , 2011, Image Vis. Comput..