Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Tella pavani and DVR Mohan “Number Plate Recognition by using open CV- Python”, International Research Journal of Engineering and Technology (IRJET), Volume: 06 Issue: 03 | Mar 2019.
    2. Jameson, H. S. Abdullah, S. Norul, A. N. Ghazali, N. Nur, and N. A.Zamani, "Multiple Frames Combination Versus Single Frame Super Resolution Methods for CCTV Forensic Interpretation," Journal of Information Assurance & Security, vol. 8, 2013.
    3. N.Vishwanath,S.Somasundaram, M.R. Rupesh Ravi, N. Krishnan Nallaperumal,” Connected Component Analysis for Indian License Plate Infra-Red and Color Image Character Segmentation”, IEEE International Conference on Computational Intelligence and Computing Research, 2012.
    4. Ragini Bhat, Bijender Mehandia,” Recognition of vehicle number plate using matlab”, International journal of innovative research in electrical, electronics, instrumentation and control engineering vol. 2, issue 8, august 2014.
    5. Cheng-Hung Lin , Yong-Sin Lin , and Wei-Chen Liu, An efficient license plate recognition system using convolution neural networks. 2018 IEEE International Conference on Applied System Invention
    6. R. Girshick, F. Iandola, T. Darrell, J. Malik, Deformable Part Models are Convolutional Neural Networks. arXiv preprint arXiv:1409.5403, 2014. in CVPR, 2015.
    7. S. Du, M. Ibrahim, M. Shehata, and W. Badawy. Automatic license plate recognition (alpr): A state-of-the-art review. Circuits and Systems for Video Technology, IEEE Trans. on, 23(2):311- 325, 2013.
    8. W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.- Y. Fu, and A. C. Berg. Ssd: Single shot multibox detector. In European Conference on Computer Vision, pages 21–37. Springer, 2016
    9. Davix, X.A., Christopher, C.S., Christine, S.S. (2017) License plate detection using channel scale space and colour-based detection method. IEEE International Conference on Circuits and Systems (ICCS). In: Thiruvananthapuram, India. 82-6.
    10. A. Abd., Sun, SL., Fu, M.X., Sun, H., I, Khan. (2019) License Plate Segmentation Method Using Deep Learning Techniques. In: Signal and Information Processing, Networking and Computers. 4th International Conference on Signal and Information Processing, Networking and Computers (ICSINC). Qingdao, China. pp. 58-65.
    11. Mei Yu and Yong Deak Kim, “An approach to Korean license plate recognition based on vertical edge matching,” IEEE International Conference on System, Man and Cybernetics, 2000, vol.4, pp. 2975-2980.
    12. Gisu Heo, Minwoo Kim, Insook Jung, Duk Ryong Lee, Il Seok Oh, “Extraction of car license plate regions using line grouping and edge density methods,” International Symposium on Information Technology Convergence, 2007, pp.37-42
    13. Sanap, P. R.; Narote, S. P.; Patel, R. B.; Singh, B. P. (2010). AIP Conference Proceedings [AIP INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) - Chandigarh, (India) (25–26 December 2010)] - License Plate Recognition System for Indian Vehicles.
    14. 2016 International Conference on Information and Communication Technology (ICICTM), 16th - 17th May 2016, Kuala Lumpur, Malaysia “A Review on License Plate Recognition System Algorithms” Muayad Ali Hamood Bakhtan, Dr. Munaisyah Abdullah, Dr. Aedah Abd Rahman
    15. A Review Paper on License Plate Recognition System Shally Gupta*, Rajesh Singh, H.L. Mandoria International Journal of Innovative Research in Computer and Communication Engineering 2020 Vol 5 No 1.4
    16. LPRNet: License Plate Recognition via Deep Neural Networks 27 Jun 2018 Sergey Zherzdev, Alexey Gruzdev.

    1. Tella pavani and DVR Mohan “Number Plate Recognition by using open CV- Python”, International Research Journal of Engineering and Technology (IRJET), Volume: 06 Issue: 03 | Mar 2019.
    2. Jameson, H. S. Abdullah, S. Norul, A. N. Ghazali, N. Nur, and N. A.Zamani, "Multiple Frames Combination Versus Single Frame Super Resolution Methods for CCTV Forensic Interpretation," Journal of Information Assurance & Security, vol. 8, 2013.
    3. N.Vishwanath,S.Somasundaram, M.R. Rupesh Ravi, N. Krishnan Nallaperumal,” Connected Component Analysis for Indian License Plate Infra-Red and Color Image Character Segmentation”, IEEE International Conference on Computational Intelligence and Computing Research, 2012.
    4. Ragini Bhat, Bijender Mehandia,” Recognition of vehicle number plate using matlab”, International journal of innovative research in electrical, electronics, instrumentation and control engineering vol. 2, issue 8, august 2014.
    5. Cheng-Hung Lin , Yong-Sin Lin , and Wei-Chen Liu, An efficient license plate recognition system using convolution neural networks. 2018 IEEE International Conference on Applied System Invention.
    6. R. Girshick, F. Iandola, T. Darrell, J. Malik, Deformable Part Models are Convolutional Neural Networks. arXiv preprint arXiv:1409.5403, 2014. in CVPR, 2015.
    7. S. Du, M. Ibrahim, M. Shehata, and W. Badawy. Automatic license plate recognition (alpr): A state-of-the-art review. Circuits and Systems for Video Technology, IEEE Trans. on, 23(2):311- 325, 2013.
    8. W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.- Y. Fu, and A. C. Berg. Ssd: Single shot multibox detector. In European Conference on Computer Vision, pages 21–37. Springer, 2016.
    9. Davix, X.A., Christopher, C.S., Christine, S.S. (2017) License plate detection using channel scale space and colour-based detection method. IEEE International Conference on Circuits and Systems (ICCS). In: Thiruvananthapuram, India. 82-6.
    10. A. Abd., Sun, SL., Fu, M.X., Sun, H., I, Khan. (2019) License Plate Segmentation Method Using Deep Learning Techniques. In: Signal and Information Processing, Networking and Computers. 4th International Conference on Signal and Information Processing, Networking and Computers (ICSINC). Qingdao, China. pp. 58-65.
    11. Mei Yu and Yong Deak Kim, “An approach to Korean license plate recognition based on vertical edge matching,” IEEE International Conference on System, Man and Cybernetics, 2000, vol.4, pp. 2975-2980.
    12. Gisu Heo, Minwoo Kim, Insook Jung, Duk Ryong Lee, Il Seok Oh, “Extraction of car license plate regions using line grouping and edge density methods,” International Symposium on Information Technology Convergence, 2007, pp.37-42
    13. Sanap, P. R.; Narote, S. P.; Patel, R. B.; Singh, B. P. (2010). AIP Conference Proceedings [AIP INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) - Chandigarh, (India) (25–26 December 2010)] - License Plate Recognition System for Indian Vehicles.
    14. 2016 International Conference on Information and Communication Technology (ICICTM), 16th - 17th May 2016, Kuala Lumpur, Malaysia “A Review on License Plate Recognition System Algorithms” Muayad Ali Hamood Bakhtan, Dr. Munaisyah Abdullah, Dr. Aedah Abd Rahman
    15. A Review Paper on License Plate Recognition System Shally Gupta*, Rajesh Singh, H.L. Mandoria International Journal of Innovative Research in Computer and Communication Engineering 2020 Vol 5 No 1.4
    16. LPRNet: License Plate Recognition via Deep Neural Networks 27 Jun 2018 Sergey Zherzdev, Alexey Gruzdev.

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