Automatic Number Plate Recognition (ANPR) Analysis Using Screen Matching With Fuzzy Classifiers for Ambiguous Numbers: A Review

Authors

  • Priti Rajvanshi, Rohit Kumar, Himanshu Verma

Abstract

The target of this paper is to investigate the issues one face in distinguishing the enrollment code amount of any engine vehicle which happens due to the residue and mud gathered at the number plate or on account of the splendor of light that is originating from the headlights of any car coming in opposite course or on account of the lights of the equivalent vehicle. To solve these problems we use the technology named as Optical character recognition abbreviated as “OCR”. By using OCR we can extract the information of the vehicle license place from a sequence of images or from a single image. This extracted information can be used by various applications in government agencies like traffic surveillance. These images can be colored or grayscale or infrared. The nice of captured pics are impartial from environmental issues like the time at which the picture is taken e.g. Daytime or nighttime, Indoors or outdoors are identified by the success parameters of the Automatic Number Plate Recognition System. ANPR is widely used in different countries, countries and provinces. In this paper we are blessed to look at the final product of the various techniques used in ANPR structures.

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Published

2020-05-17

Issue

Section

Articles