BINARIZATION FOR THE FANCY AND ORDINARY NUMBER PLATE SYSTEM USING BERNSEN ALGORITHM

Authors

  • SUHAS DHONDIRAM DESAI Dept. Of Electronics, K. I. T.’s College of Engineering, Gokul-ShirgaonShivaji University, Kolhapur-416234 Maharashtra, India
  • PROF. A. L. RENKE Dept. Of Electronics, K. I. T.’s College of Engineering, Gokul-ShirgaonShivaji University, Kolhapur-416234 Maharashtra, India

Keywords:

BINARIZATION

Abstract

Shadow removal algorithm is nothing but the binarization of image. For binarization we use BERNSENAlgorithm. An Improved BERNSEN Algorithm approaches for Number Plate Recognition (NPR) applied to the intelligent transportation system. NPR is an image processing technology used to identify the vehicles by their Number plates. Number plate recognition is mainly based on two methods. One is Number plate detection method which is based on Improved BERNSENAlgorithm and the other is number plate character recognition method. The Proposed NPR algorithm consists of three modules 1) Locating the number plates; 2) Segmenting the Characters; and 3) Identifying the number characters.

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Published

2021-03-27

Issue

2016: ICITER

Section

Articles

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