A next-generation secure cloud-based deep learning License Plate Recognition for smart cities

Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016

Volumn , Issue , 2017, Pages 286-294

  Polishetty, Rohith ^b   Roopaei, Mehdi ^a   Rad, Paul ^a  

^a The University of Texas at San Antonio   (United States)

^b University of Texas at San Antonio   (United States)

Author keywords

Cloud computing; Convolutional neural networks; Deep learning; License Plate Recognition System; Smart city

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLOUD COMPUTING; CONVOLUTION; DEEP LEARNING; DISTRIBUTED COMPUTER SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LICENSE PLATES (AUTOMOBILE); NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; PROGRAM PROCESSORS;

CONGESTED TRAFFIC; CONVOLUTIONAL NEURAL NETWORK; DETECTING SYSTEMS; LICENSE PLATE RECOGNITION; LICENSE PLATE RECOGNITION SYSTEMS; PLATE ORIENTATION; RECALL AND PRECISION; TOLL MANAGEMENT;

SMART CITY;

EID: 85015448299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2016.22     Document Type: Conference Paper

References (45)

1. Du, Shan, et al. "Automatic license plate recognition (ALPR): A state-of-the-art review." IEEE Transactions on circuits and systems for video technology 23. 2(2013):311-325.
2. Abdullah, Siti Norul Huda Sheikh, et al. "Comparison of feature extractors in license plate recognition. " Modelling & Simulation, 2007. AMS'07. First Asia International Conference on. IEEE, 2007.
3. Hsieh, Ching Tang, and Yu-Shan Juan. "Wavelet transform based license plate detection for cluttered scene." WSEAS Transactions on Computers 4. 1(2005):40-44.
4. Sulehria, Humayun Karim, Danish Irfan Ye Zhang, and Atif Karim Sulehria. "Vehicle number plate recognition using mathematical morphology and neural networks." WSEAS Transactions on Computers 7 (2008).
5. Sulehria, Humayun K., Ye Zhang, and Danish Irfan. "Mathematical Morphology Methodology for Extraction of Vehicle Number Plates." International journal of computers 1. 3(2007):69-73.
6. Villegas, Osslan Osiris Vergara, et al. "License plate recognition using a novel fuzzy multilayer neural network." International journal of computers 3. 1(2009):31-40.
7. Last day of access (2005, Aug. 10). [Online]. Available: http://itsdeployment2.ed.ornl.gov/technology-overview
8. th Int. Conf. Pattern Recognition., vol. 2, pp. 831-834.
9. Y. Yanamura, M. Goto, D. Nishiyama, M. Soga, H. Nakatani, and H. Saji, "Extraction and tracking of the license plate using Hough transform and voted block matching", in Proc. IEEE Intell. Vehicles Symp., Piscataway, NJ, 2003, pp. 243-246.
10. Anagnostopoulos, Christos-Nikolaos E., et al. "License plate recognition from still images and video sequences: A survey." IEEE Transactions on intelligent transportation systems 9. 3(2008):377-391.
11. S. Yohimori, Y. Mtsukura, M. Fukumi, N. Akamatsu, and W. Pedrycz, "License plate detection system by using threshold function and improved template matching method", in Proc. NAFIPS, 2004, pp. 357-362.
12. V. Kamat and S. Ganesan, "An efficient implementation of the Hough transform for detecting vehicle license plates using DSP's", in Proc. Real-Time Technol. Appl. Symp., 1995, pp. 58-59.
13. F. Kahraman, B. Kurt, and M. Gokmen, "License plate character segmentation based on the Gabor transform and vector quantization", in Proc. ISCIS, 2003, pp. 381-388.
14. Kim K. K, Kim K. I., Kim J. B. and Kim H. J., "Learning-based Approach for License Plate Recognition", Proceedings of the IEEE Signal Processing Society, vol. 2, 2000, pp. 614-623.
15. Anagnostopoulos, Christos-Nikolaos E. "License Plate Recognition: A Brief Tutorial." IEEE Intell. Transport. Syst. Mag. 6. 1(2014):59-67.
16. [Online] Available: http://www.ezcctv.com/license-platerecognition.htm
17. T. Naito, T. Tsukada, K. Yamada, K. Kozuka, and S. Yamamoto, "Robust license-plate recognition method for passing vehicles under outside environment", IEEE Trans. Veh. Tech., vol. 49, no. 6, pp. 2309-2319, Nov. 2000.
18. Flores, Marco Javier, Jose Maria Armingol, and Arturo de la Escalera. "Real-time drowsiness detection system for an intelligent vehicle." Intelligent Vehicles Symposium, 2008 IEEE. IEEE, 2008.
19. Zhang, Yi, Zhi Qiang Zha, and Lian Fa Bai. "A license plate character segmentation method based on character contour and template matching." Applied Mechanics and Materials. vol. 333. Trans Tech Publications, 2013.
20. Li, Hui, and Chunhua Shen. "Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs." arXiv preprint arXiv:1601.05610 (2016).
21. T. Wang, D. Wu, A. Coates, and A. Y. Ng, "End-to-end text recognition with convolutional neural networks", in Proc. IEEE Int. Conf. Patt. Recogn., 2012, pp. 3304-3308.
22. M. Jaderberg, A. Vedaldi, and A. Zisserman, "Deep features for text spotting", in Proc. Eur. Conf. Comp. Vis., 2014, pp. 512-528.
23. B. Su and S. Lu, "Accurate scene text recognition based on recurrent neural network", in Proc. Asi. Conf. Comp. Vis., 2014, pp. 35-48.
24. P. He, W. Huang, Y. Qiao, C. C. Loy, and X. Tang, "Reading scene text in deep convolutional sequences", Technical report, 2015. [Online]. Available: http://arxiv.org/abs/1506.04395
25. Chetlur, Sharan, et al. "cudnn: Efficient primitives for deep learning." arXiv preprint arXiv:1410.0759 (2014).
26. Harris, Chris, and Mike Stephens. "A combined corner and edge detector." Alvey vision conference. vol. 15. 1988.
27. Buades, Antoni, Bartomeu Coll, and J.-M. Morel. "A non-local algorithm for image denoising." 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). vol. 2. IEEE, 2005.
28. Gao, Renwu, et al. "Visual Saliency Models for Text Detection in Real World." PloS one 9.12(2014):e114539.
29. Itti, Laurent, Christof Koch, and Ernst Niebur. "A model of saliency-based visual attention for rapid scene analysis." IEEE Transactions on pattern analysis and machine intelligence 20. 11(1998):1254-1259.
30. Zhang, Xiang, Junbo Zhao, and Yann LeCun. "Character-level convolutional networks for text classification. " Advances in Neural Information Processing Systems. 2015.
31. Sauvola, Jaakko, and Matti Pietikäinen. "Adaptive document image binarization. " Pattern recognition 33. 2(2000):225-236.
32. Otsu, Nobuyuki. "A threshold selection method from gray-level histograms." Automatica 11. 285-296(1975):23-27.
33. Draghici S., "A Neural Network Based Artificial Vision System for License Plate Recognition", International Journal of Neural Systems, vol. 8, no. 1, 1997, pp. 113-126.
34. de Campos, Teófilo Emídio, Bodla Rakesh Babu, and Manik Varma. "Character Recognition in Natural Images." VISAPP (2).
35. Jaderberg, Max, Andrea Vedaldi, and Andrew Zisserman. "Deep features for text spotting." European conference on computer vision. Springer International Publishing, 2014.
36. Wang, Kai, Boris Babenko, and Serge Belongie. "End-to-end scene text recognition. " 2011 International Conference on Computer Vision. IEEE, 2011.
37. Griffin, Gregory, Alex Holub, and Pietro Perona. "Caltech-256 object category dataset." (2007).
38. Lucas, Simon M., et al. "ICDAR 2003 Robust Reading Competitions." ICDAR. vol. 2003. 2003.
39. (2003) Caltech Cars Image dataset. [Online] Available: http://www.vision. caltech.edu/Image-Datasets/cars-brad/cars-b rad.tar
40. P. Rad, A. T. Chronopoulos, P. Lama, P. Madduri and C. Loader, "Benchmarking Bare Metal Cloud Servers for HPC Applications", 2015 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), Bangalore, 2015, pp. 153-159
41. P. Rad, R. Boppana, P. lama, G. Berman, and Mo Jamshidi, "Low-Latency Software Defined Network for High Performance Clouds", in Proceedings of the 8th IEEE System of Systems, 2015, pp. 805-812
42. Hsu, Gee-Sern, Jiun-Chang Chen, and Yu-Zu Chung. "Application-oriented license plate recognition. " IEEE transactions on vehicular technology 62. 2(2013):552-561.
43. Li, Hui, and Chunhua Shen. "Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs." arXiv preprint arXiv:1601.05610 (2016).
44. Rad, Paul, et al. "Secure Proxy Service Using p-Fibonacci Transformation of Cosine Coefficients on Cloud File Sharing Environment." (HPCC), 2015 IEEE 7th International Symposium.
45. Rad, Paul, et al. "Secure image processing inside cloud file sharing environment using lightweight containers." 2015 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2015.