Automatic number plate information extraction and recognition for intelligent transportation system

References

• J.L.R. Fletcher and R. Kasturi: ‘A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images’, IEEE trans. On Pattern Analysis and Machine Intelligence, 1998, 10/6, 910–917.
   Google Scholar
• H. Hontani and T. Koga: ‘Character Extraction Method without Prior Knowledge on Size and Position Information’, IEEE International Vehicle Electronics Conference:IVEC2001, Tottori, Japan, September 2001, Tottori Unv, 67–72.
   Google Scholar
• F. Kahraman, B. Kurt and M. Gökmen: ‘License Plate Character Segmentation Based on the Gabor Transform and Vector Quantization’, Lecture Notes in Computer Sciences, 2003, 2869, 381–388.
   Google Scholar
• S. Draghici: ‘A Neural Network Based Artificial Vision System for License Plate Recognition System’, International Journal of Neural Systems, 1997, 8, 113–126.
   PubMed Web of Science ®Google Scholar
• M.H. Brugge, J.A.G. Nijhuis and L. Spaanenburg: ‘License-Plate Recognition using DTCNNs’, Fifth IEEE International Workshop on Cellular Neural Networks and Their Applications Proceedings:CNNA’98, London, UK, April 1998, South Bank Unv., 212–217.
   Google Scholar
• K.I. Kim, K. Jung and J.H. Kim: ‘Color Texture-Based Object Detection: An Application to License Plate Localization’, Lecture Notes in Computer Sciences, 2002, 2388, 293–309.
   Google Scholar
• J. Barroso, A. Rafeal: ‘Number Plate Reading Using Computer Vision’, Proc. IEEE International Symposium on Industrial Electronics: ISIE’97, Guimaraes, Portugal, July 1997, University of Minho, 761–766.
   Google Scholar
• N. Takashi, T. Tsukada, K. Yamada, K. Kozuka and S. Yamamato: ‘Robust License-Plate Recognition Method for Passing Vehicles Under Outside Environment’, IEEE Transactions on Vehicular Technology, 2000, 49, (6), 2309–2319.
   Web of Science ®Google Scholar
• Y.J. Min, U.J. Choi: ‘Development of License Plate Extraction Algorithm Using Prior Knowledge’, Proc of the 5th World Congress on Intelligent Transport Systems: WCITS, Seoul, Korea, October 1998, ID:4092.
   Google Scholar
• C. Coetzi, C. Botha and D. Weber: ‘PC Based Number Plate Recognition System’, Proc. IEEE International Symposium on Industrial Electronics: ISIE’98, Pretoria, South Africa, July 1998, 2, 605–610.
   Google Scholar
• D.T. Oivind, K.J. Anil and T. Torfinn: ‘Feature Extraction Methods for Character Recognition A Survey’, Pattern Recognition, 1996, 29, (4), 641–662.
   Web of Science ®Google Scholar
• K. Fukishima, S. Miyaki and T. Ito: ‘NeoCognitron: A neural network model for a mechanism for visual pattern recognition’, IEEE Transactions on Systems, 1983, 13, 826–834.
   Web of Science ®Google Scholar
• Y. Lecun, L. Bottou, Y. Bengio and P. Haffner: ‘Gradient-Based Learning Applied to Document Recognition’, Proceedings of IEEE, 1998, 86, (11), 2278–2324.
   Web of Science ®Google Scholar
• H.C. Kim, D. Kim and S.Y. Bang: ‘Face recognition using the second-order mixture-of-eigenfaces method’, Journal of Pattern Recognition Society, 2004, 37, 337–349.
   Web of Science ®Google Scholar
• S. Uchida, H. Sakoe: ‘Eigen-deformations for elastic matching based handwritten character recognition’, Journal of Pattern Recognition Society, 2003, 36, 2031–2040.
   Web of Science ®Google Scholar
• A. Çapar, K. Taşdemir, Ö. Kılıç and M. Gökmen: ‘A Turkish Handprint Character Recognition System’, Lecture Notes in Computer Sciences, 2003, 2869, 447–456.
   Google Scholar
• D. Gutshess, M. Trajkovic, E. Cohen-Sola, D. Lyons and A.K. Jain: ‘A Background Model Initialization Algorithm for Video Surveillance’, Proc. Eighth IEEE Int. Conference on Computer Vision: ICCV 2001, Vancouver, Canada, July 2001, 1, 733–740.
   Google Scholar
• M. Ekinci: ‘A New Attempt to Silhouette-Based Gait Recognition for Human Identification’, Lecture Notes in Computer Sciences, 2006, 4013, 443–454.
   Google Scholar
• T. Theußl, H. Hauser and E. Groller: ‘Mastering Windows: Improving Reconstruction’, Proc. IEEE Symposium on Volume Visualization 2000, Utah, USA, October 2000, 10, 101–108.
   Google Scholar
• M. Cinsdikici and T. Tunali: ‘License Plate Segmentation for Intelligent Transportation Systems’, Lecture Notes in Computer Sciences, 2003, 2869, 439–446.
   Google Scholar
• R.N. Bracewell: ‘Two-Dimensional Imaging’, 1st edn, 640, Englewood Cliffs, NJ, Prentice Hall, 1995, 505–544.
   Google Scholar
• E.G. Parmehr, A.A. Ardalan and L. Hashemi: ‘Implementation of Height Information for Modification of Delaunay Triangulation’, Journal of Geospatial Engineering, 2004, 6, (2), 43–48.
   Google Scholar
• G.A.F. Seber and A.J. Lee: ‘Linear Regression Analysis’, 2nd edn, 582, Wiley-Interscience, 2003.
   Google Scholar
• M.F. Møller: ‘A scaled conjugate gradient algorithm for fast supervised learning’, Neural Networks, 1993, 6, (4), 525–533.
   Web of Science ®Google Scholar
• E.M. Johansson, F.U. Dowla and D.M. Goodman: ‘Backpropagation Learning for Multi-Layer Feed-Forward Neural Networks Using the Conjugate Gradient Method’, International Journal of Neural Systems, 1992, 2, (4), 291–301.
   Google Scholar