Number Plate Recognition using OCR

Authors

  • Sarasam Jagadeesh Reddy  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Sayeed Ahmed  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Potta Akshay  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

DOI:

https://doi.org//10.32628/CSEIT1952123

Keywords:

Number Plate Recognition, OCR, Toll Booth.

Abstract

Technology has the power to streamline and improve the efficiency of a job over human’s, in this paper we go through the problem of solving a particular problem in the Indian road systems i.e Toll booths. The paper discusses a rather simple and cost efficient method to streamline the process of toll booths with the help of detecting vehicle registration number using OCR to overcome the cost factor of present day systems by using IP cameras. Generally human intervention may cause some financial malpractices, which leads to huge loss of revenue. So to overcome this problem, there is a requirement of a system which automatically detects the number plates of those vehicles. So the main intention of this project is to get the registration information from the image efficiently.

References

  1. 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
  2. Feng Yang, Zheng Ma, Mei Xie, “A Novel approach for license plate character segmentation”, ICIEA, 2006, pp.1-6.
  3. Ch. Jaya Lakshmi, DrA.Jhansi Rani, Dr. K. Sri Ramakrishna, M.Lantikiran, V.R. Siddhartha”, A novel Approach for Indian License Plate Recognition System”, IJAEST, Vol 2 Issue I, 2011, pp 010-014.

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Sarasam Jagadeesh Reddy, Sayeed Ahmed, Potta Akshay, " Number Plate Recognition using OCR, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.466-471, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952123