Abstract

The main objective of this working is to bring a novel resolution for the quadrilateral pattern fixing problem providing endless advantages to that including the capture of the strings on license areas at the all sorts of time zones in the all assorted states of ambience conditions involving foggy, snowy and darkness forms. Blender system of our techniques applied a well-recognizing differentiation of the numbers and the letters; thereof such like "Figures" are not intermingled with "Characters". This is a great advantage particularly in the check-in/out-systems where there is only a petty error-tolerance as the scenery pass once in a snapshot time though. Auto-detection system can be installed/deployed to mission-critical-places in the each and every highway by up linking to an in/external-database file also. The system became effective towards licence-registration, in traffic control-points either in protecting the paints at the checkpoints as the fine-cutter or as an all round recognizer for fully-automated check-outs.

References

• J. Wang. “Segmentation of merged characters by neural networks and shortest-path”, Symposium on Applied Computing, Indianapolis, USA, 1993.
• D. McClure. “Statistical methods for tomographic image reconstruction”, Bulletin Int. Statistical Institute, 1987.
• F. Canny. “A computational approach to edge detection”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, pp. 679-698, 1986.
• K. Fukunaga. “Introduction to statistical pattern recognition”, Academic Press, San Diego, USA, 1990.
• P. Fua. “Articulated soft objects for multi-view shape and motion capture”, IEEE Trans. Pattern Analysis and Machine Intelligence, 2003.
• V. Shapiro, V. Velichkov. “Adaptive License Plate Image Extraction”, International Conference Computer Systems and Technologies, Bulgaria, 2004.
• Y. Zhang. “New Algorithm for Character Segmentation of License Plate”, Intelligent Vehicles Symposium, IEEE, 2003.
• C. Bishop. “Neural networks for pattern recognition”, Oxford Univ. Press Inc., NY, 1995.
• D. Hogg. “Learning flexible models from image sequences”, ECCV, 1994.
• H. Hontani, T. Koga. “Character extraction method without prior knowledge on size and information”, Proceedings of the IVEC, pp. 67-72, 2001.
• F. Oliveira. “Algorithm of dynamic programming for optimization of the global matching between two contours defined by ordered points”, Computer Modeling in Eng. and Sciences, 2008.
• J. Blinn. “Models of light reflection for computer synthesized pictures”, SIGGRAPH, 1977.
• S. Kirkpatrick, C. D., Gerlatt, M. Vecchi. “Optimization by simulated annealing”, Science, vol. 220, pp. 671-680, 1983.