ALPR System Under Varying Illumination and Motion Conditions

8 pages•Published: August 5, 2017

Abstract

As the significance of open transportation framework expands a programmed license plate recognition (ALPR) has ended up being a critical examination issue. It is getting to be hard to monitor every vehicle for motivation behind law implementation and movement administration. ALPR prepared in numerous wise observation frameworks like, traffic management, security administration, programmed toll gathering framework and so forth. A number of methods have been proposed for license plate detection, each having its own advantages and disadvantages. The basic step in ALPR is accurate localization of number plate, segmentation, recognition. Algorithm for Automatic License Plate Recognition system have been developed for college premises successfully for image and video data. GMM based algorithm was carried out for extraction of license plates from video data by integrating the different controlling parameters. License plates are detected from a video frame effectively by using Harris corner detector. Segmentation results achieved was good by utilizing integrated approach of controlling parameters. Artificial neural network (ANN) had used for the recognition purpose and accuracy achieved was high, also data logging had been implemented successfully for future purpose.

Keyphrases: alpr, ann, ar, cca, lp, pc, swa

In: Ajitkumar Shukla, J. M. Patel, P. D. Solanki, K. B. Judal, R. K. Shukla, R. A. Thakkar, N. P. Gajjar, N. J. Kothari, Sukanta Saha, S. K. Joshi, Sanjay R. Joshi, Pranav Darji, Sanjay Dambhare, Bhupendra R. Parekh, P. M. George, Amit M. Trivedi, T. D. Pawar, Mehul B. Shah, Vinay J. Patel, Mehfuza S. Holia, Rashesh P. Mehta, Jagdish M. Rathod, Bhargav C. Goradiya and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Engineering, vol 1, pages 1-8.

Links:	https://easychair.org/publications/paper/Dc4F
	https://doi.org/10.29007/3hqn

BibTeX entry

@inproceedings{ICRISET2017:ALPR_System_Under_Varying,
  author    = {Hetal Patel and Tejendra Panchal},
  title     = {ALPR System Under Varying Illumination and Motion Conditions},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in  Science, Engineering and Technology. Selected Papers in Engineering},
  editor    = {Ajitkumar Shukla and J. M. Patel and P. D. Solanki and K. B. Judal and R. K. Shukla and R. A. Thakkar and N. P. Gajjar and N. J. Kothari and Sukanta Saha and S. K. Joshi and Sanjay R. Joshi and Pranav Darji and Sanjay Dambhare and Bhupendra R. Parekh and P. M. George and Amit M. Trivedi and T. D. Pawar and Mehul B. Shah and Vinay J. Patel and Mehfuza S. Holia and Rashesh P. Mehta and Jagdish M. Rathod and Bhargav C. Goradiya and Dharita K. Patel},
  series    = {Kalpa Publications in Engineering},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/Dc4F},
  doi       = {10.29007/3hqn},
  pages     = {1-8},
  year      = {2017}}

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