Modified Gabor Filter based Vehicle Verification
Amrutha Ramachandran. Article: Modified Gabor Filter based Vehicle Verification. IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology NCWBCB(2):29-32, May 2014. Full text available. BibTeX
@article{key:article,
author = {Amrutha Ramachandran},
title = {Article: Modified Gabor Filter based Vehicle Verification},
journal = {IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology},
year = {2014},
volume = {NCWBCB},
number = {2},
pages = {29-32},
month = {May},
note = {Full text available}
}
Abstract
Vehicle identification based on image processing is the basic key behind this paper. This technology has been obtained world wide attention nowadays due to low cost,flexibility,ease of access,potential towards collision avoidance and accuracy. In most cases the vehicles are identified on the basis of colour,texture,histogram,hue,saturation,contrast etc. Gabor filter obtained from Gaussian filters are mainly used in image processing due to its better performance. But the main drawback of Gabor filters is related to the frequency response. The bandwidth is limited to reduce the DC noise components. Moreover filter banks have to be used. So a novel idea called Log Gabor filter has been suggested to overcome the drawbacks. Log Gabor filters are designed as Gaussian functions on log axis, which is in fact spatial frequency response of visual neurons. The result expected is that the frequency response concentrates on both lower and higher frequencies It helps to represent uneven frequency content of the image and redundancy of lower frequencies will be reduced. In this paper,a comparison between Gabor and Log Gabor filter is proposed. The classification is done using SVM and neural networks.
References
- J. Arrospide and L. Salgado,"Log Gabor filter for image based vehicle verification ,IEEE, Transcations on Image Processing,Vol22,no. 6,June2013.
- Lou, T. Tan, W. Hu, H. Yang, and S. J. Maybank, "3-D modelbased vehicle tracking," IEEE Trans. Image Process. , vol. 14, no. 10, pp. 1561–1569, Oct. 2005.
- T. Gandhi and M. M. Trivedi, "Video based surround vehicle detection, classification and logging from moving platforms: Issues and approaches," in Proc. IEEE Intell. Veh. Symp. , Jun. 2007,pp. . 1067–1071.
- N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. , vol. 1. Jun. 2005, pp. 886–893.
- T. Barbu,"Gabor filter based face recognition technique",Proceedings of the Roman Academy,series a,Vol. 11,no. 3/2010,pp. 227-283.
- J. Zhou,D. Gao,D. Zhang,"Moving vehicle detection for automatic traffic monitoring", IEEE Trans. Vehicular Technology,Vol. 56,n0. 1,Jan. 2007.
- M,M,Rashid,A. Musa,M. A. Rahman,N. Farahana,A. Farhana,"Automatic parking management system and parking fee collection based on number plate recognition,International Journal of Machine Learning and Computing,Vol. 2,no. 2,April,2012.
- S. Asthana,N. Sharma,R. Singh,"Vehicle number plate recognition using multiple layer back propagation neural networks"'IJCTEE,Vol. 1,Issue1. ,July2011.
- Meenakshi,R. B. Dubey,"Vehicle license plate recognition system",International Journal of Advanced Computer Research,Vol. 2,no. 4,Issue. 7,2012.
- M. M. M. Fahmy, 1994, "Automatic Number-plate Recognition: Neural Network Approach," Proceedings of VNIS'94 Vehicle Navigation and Information System Conference,3 1 Aug-2, 1994.
- J. A. G. Nijhuis, M. H. Ter Brugge, K. A. Helmholt, J. P. W. Pluim, L. Spaanenburg, R. S. Venema, M. A. Westenberg,1995, "Car License Plate Recognition with Neural Networks and Fuzzy Logic," IEEE International Conference on Neural Networks,1995.
- H. S. Kim, et al. , 1991, "Recognition of a Car Number Plate by a Neural Network," Proceedings of the Korea Information Science Society Fall Conference, Vol. 18, pp. 259-262, 1991.
- H. J. Kim, D. W. Kim, S. K. Kim, J. V. Lee, J. K. Lee, 1997, "Automatic Recognition of Car License Plates Using Color Image Processing," Engineering Design & Automation, 3(2),pp. 215-225,1997.
- Younghyun Lee1, Taeyup Song, Bonhwa Ku1, Seoungseon Jeon, David K. Han , Hanseok Ko " License Plate Detection using Local Structure Patterns" in proc. Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance pp 574-579, 2010.
- P. Chhoriya,G. Paliwal,P. Badhan,"Image processing based automatic toll booth in Indian conditions,"IJETAE,Vol. 3,Issue 4,April 2013.
- Md. Farhad Ismail,M. A. R. Sarkar,"Development of a model for electronic toll collection system,"International Journal,Intelligent Systems and Applications,Vol 1,2012,pp. 39-45.
- J. C. Wu,J. W. Hsieh,Y. S. Chen,C. M. Tu,"Vehicle orientation detection using vehicle color and normalized cut clustering"'IAPR Conference on Machine Vision Applications,May 16-18,2007.
- B. S. Manjunath and W. Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 18, no. 8, pp. 837–842, Aug. 1996
- J. G. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," J. Opt. Soc. Amer. A, vol. 2, no. 7, pp. 1160–1169, Jun. 1985.
- R. A. Lotufo, A. D. Morgan, and A. S. Johnson, 1990, "Automatic Number-Plate Recognition," Proceedings of the IEE Colloquium on image analysis for Transport Applications, vol. 1, no. 35,pp. 6/1-6/6, February 16, 1990.
- E. R. Lee, P. K. Kim, and H. J. Kim, 1994, "Automatic Recognition of a Car License Plate Using Color Image Processing," Proceedings of the International Conference on Image Processing.
- H. Yoshimura, M. Etoh, K. Kondo, N. Yokoya, "Gray-scale character recognition by Gabor jets projection," Proceedings 15th International Conference on Pattern Recognition, ICPR-2000. IEEE Comput. Soc. Part vol. 2, 2000, pp. 335-8 vol. 2, Los Alamitos, CA,USA.