CHARACTER EXTRACTION from BLURRED LICENSE PLATE IMAGES USING OCR TECHNIQUE

Authors

  • Manjushree K.R PG Student, University BDT College of Engineering, Visveswaraya Technological University, Hadadi Road, Davangere, Karnataka, India.
  • Smt. Kavitha G Assistant Professor, University BDT College of Engineering, Visveswaraya Technological University, Hadadi Road, Davangere, Karnataka, India

Keywords:

Kernel parameter estimation, license plate deblurring, linear motion blur, Gaussian noise,OCR

Abstract

The unique identification of a vehicle, license plate is a key clue to uncover overspeed vehicles or the ones involved in hit-and-run accidents. However, the snapshot of
overspeed vehicle captured by surveillance camera is frequently blurred due to fast motion,
which is even unrecognizable by human. Those observed plate images are usually in low
resolution and suffer severe loss of edge information, which cast great challenge to existing
blind deblurring methods. For license plate image blurring caused by fast motion, the blur
kernel can be viewed as linear uniform convolution and parametrically modeled with angle
and length. In this paper, we propose a novel scheme based on sparse representation to
identify the blur kernel.

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Published

2017-07-25

How to Cite

Manjushree K.R, & Smt. Kavitha G. (2017). CHARACTER EXTRACTION from BLURRED LICENSE PLATE IMAGES USING OCR TECHNIQUE. International Journal of Advance Research in Engineering, Science & Technology, 4(7), 93–101. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1649

Issue

Vol. 4 No. 7 (2017): Volume: 04, Issue: 07 - July, 2017.

Section

Articles