Paper Title:
An Improved Method for Vietnam License Plate Location based on Mathematic Morphology and Measuring Properties of Image Regions
  Abstract

In the Automatic License Plate Recognition (ALPR) system, the License Plate Location (LPL) is the key step before the final recognition. This paper proposed an improved LPL algorithm for Vietnam vehicle license plates (LP). The proposed algorithm consists of three main modules: Pre-processing (convert RGB image to grayscale image, adjust grayscale image intensity, image binarization use Otsu method), LP candidates location (morphology opening to remove noises & dilation operation, measure properties of image regions to find candidates), LP exactly location (finding the LP angle & rotating LP, cut exactly LP region). We implemented test for 350 Vietnam vehicle images, which obtained from the actual system, the average rate of accuracy of our method is 98.64%, our results are more exactly presented methods.

  Info
Periodical
Chapter
Chapter 8: Measurement
Edited by
Paul P. Lin and Chunliang Zhang
Pages
1995-1999
DOI
10.4028/www.scientific.net/AMM.105-107.1995
Citation
V. D. Mai, D. Q. Miao, R. Z. Wang, "An Improved Method for Vietnam License Plate Location based on Mathematic Morphology and Measuring Properties of Image Regions", Applied Mechanics and Materials, Vols. 105-107, pp. 1995-1999, 2012
Online since
September 2011
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Price
$32.00
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