Real-Time Multiple License Plate Recognition System

Article Properties
Cite
Azad, Babak, and Eslam Ahmadzade. “Real-Time Multiple License Plate Recognition System”. International Journal of Research in Computer Science, vol. 4, no. 2, 2014, pp. 11-17, https://doi.org/10.7815/ijorcs.42.2014.080.
Azad, B., & Ahmadzade, E. (2014). Real-Time Multiple License Plate Recognition System. International Journal of Research in Computer Science, 4(2), 11-17. https://doi.org/10.7815/ijorcs.42.2014.080
Azad B, Ahmadzade E. Real-Time Multiple License Plate Recognition System. International Journal of Research in Computer Science. 2014;4(2):11-7.
Citations
Title Journal Journal Categories Citations Publication Date
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions IEEE Transactions on Intelligent Transportation Systems
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 1 2020
Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 32 2018
LPR CNN Cascade and Adaptive Deskewing Procedia Computer Science 1 2017
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Engineering (General). Civil engineering (General)2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Manufactures: Production management. Operations management1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LPR CNN Cascade and Adaptive Deskewing and was published in 2017. The most recent citation comes from a 2020 study titled An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions. This article reached its peak citation in 2020, with 1 citations. It has been cited in 3 different journals. Among related journals, the IEEE Transactions on Intelligent Transportation Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year