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A Robust Diverged Localization and Recognition of License Registration Characters

Authors: R. Bremananth, M. Sankari, C.Meena

Abstract:

Localization and Recognition of License registration characters from the moving vehicle is a computationally complex task in the field of machine vision and is of substantial interest because of its diverse applications such as cross border security, law enforcement and various other intelligent transportation applications. Previous research used the plate specific details such as aspect ratio, character style, color or dimensions of the plate in the complex task of plate localization. In this paper, license registration character is localized by Enhanced Weight based density map (EWBDM) method, which is independent of such constraints. In connection with our previous method, this paper proposes a method that relaxes constraints in lighting conditions, different fonts of character occurred in the plate and plates with hand-drawn characters in various aspect quotients. The robustness of this method is well suited for applications where the appearance of plates seems to be varied widely. Experimental results show that this approach is suited for recognizing license plates in different external environments. 

Keywords: Image Analysis, Edge Detection, Character Segmentation, Connectivity checking, license plate localization, license number recognition, Quality frame selection

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087940

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References:


[1] Yali Amit,Donald Geman, and Xiaodong Fan, “A Coarse-to-fine strategy for multiclass shape detection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.26, No. 12. pp. 1606-1621, 2004.
[2] Park, S.H. Kim, K.I. Jung, and Kim H. J., “Locating Car License Plate using Neural Networks”, IEE Electronics letters 35, pp.1475-1477,1999.
[3] Hegt J A, Haye R J, De La Khan N A, “High performance license plate recognition system”, IEEE Proceedings of international conference of systems, MAN, cybernetics, San Diego, CA, 1998, pp. 4357-4362.
[4] Eun Ruyng Lee, Pyeoung Kee Kim, Hang Oon Kim, “Automatic Recognition of a car license plate using color image processing”, IEEE Proceedings of ICISIP, 1994, pp. 149-152.
[5] M. J. Ahmed, M . Sarfraz, A. Zidouri, W.G. Al Khatib, “License Plate Recognition System”, IEEE Proceedings of ICECS, 2003, (07803-8163- 7/03), pp. 898-901.
[6] Dong-Su Kim, Sung-Il Chien, “Automatic License Plate Extraction Using Modified Generalized Symmetry Transform and Image Warping”, IEEE Proceedings of ISIE, 2001, (0-7803-7090-2/01), pp. 2022-2027.
[7] Guangzhi Cao, Jiaqian Chen, Jingping Jiang, “An Adaptive Approach to Vehicle License Plate Localization”, IEEE Proc. of IECON, Roanoke, Virginia, USA, 2003, pp. 1786-1791.
[8] Gyu-Dong Lee, Kwang-Sub Kim, Dong-Seok Jeong, “Rough Edge Detection of Low Contrast Images Using Consequential Local Variance Maxima, IEEE Proceedings of Tencon, 1999, (0-7803-5739-6/99), pp. 734-737
[9] Hans A. Hegt, Ron J. De la Haye, Nadeem A. Khan, “A High Performance License Plate Recognition System”, IEEE Proceedings, 1998, (0-7803-4778-1/98), pp. 4357-4362
[10] Paolo Comelli, Paolo Ferragina, Mario Notturno Granieri and Flavio Stabille, “Optical Recognition of Motor Vehicle License Plate”, IEEE Transactions on Vehicular Technology, Vol. 44, No.4, November 1995, (0018-9545/95), pp. 790-799.
[11] Giovanni Adorni, Stefano Cagnoni, Marco Gori and Monica Mardonini, Access Control System with Neuro-Fuzzy supervision, IEEE Proceedings of Intelligent Transportation Systems Conference, 2001, (0- 7803-7194-1/01). pp.472 - 477
[12] Shyang-lih Chang , Li-Shien Chen, Yun-Chung Chung, and Sei-Wan Chen, “Automatic License plate Recognition”, IEEE Transaction on Intelligent Transportation Systems, Vol. 5 No. 1, pp. 42-53, 2004.
[13] Mei Yu and Yong Deak Kim, “An Approach to Korean License Plate Recognition based on Vertical Edge matching”, IEEE Proceedings, 2000, (0-7803-6583-6/00), pp. 2975-2980.
[14] Takashi Naito, Toshihiko Tsukada, Keiichi Yamada, Kazuhiro Kozuka, and Shin Yamamoto, “Robust License-Plate Recognition Method for Passing Vehicles Under Outside Environment”, IEEE Transaction on Vehicular Technology, Vol.49, No.6, pp. 2309-2319, 2000.
[15] R.Bremananth, A Chitra, Vivek Seetharaman Vidya Sudhan L Nathan, “A Robust Video based License plate recognition”, IEEE Proc. of Inter. Conf. On intelligent sensing and information processing, (IEEE-0-7803- 8840-2/05), 2005, pp.175-180.
[16] Park, S.H. Kim, K.I., Jung, K., Kim, H. J., “Locating Car License Plate using Neural Networks”, IEE Electronics letters, 35, pp. 1475-1477, 1999.
[17] R. Bremananth, Prof. A. Chitra, Vivek seetharaman, Vidyasudhan, “A New Methodology for License Plate Recognition System”, IETE Journal of Research, Vol.51, No.4, pp. 279-286, 2005.