Paper Title:
The Design of a Car License Plate Identification System Based on AdaBoost Algorithm
  Abstract

Design and implement a car license plate identification system with the applications of Viola and Jones algorithm. This algorithm which is based on the AdaBoost method is trained and optimized for the best performance using large database of car license plate images. The final license plate identification system obtained a cascade of classifiers consisting of 8 stages with 1310 Haar-like features. Once the license plates have sufficient visibility and there are no other objects similar to the plate in images, this system operates perfectly and shows high correct identification rate with low false positive rate. And as integral image allows the Haar-like features to be calculated very fast, the system also finished the identification rapidly.

  Info
Periodical
Advanced Materials Research (Volumes 181-182)
Edited by
Qi Luo and Yuanzhi Wang
Pages
588-593
DOI
10.4028/www.scientific.net/AMR.181-182.588
Citation
H. Wang, X. Li, S. Liu, "The Design of a Car License Plate Identification System Based on AdaBoost Algorithm", Advanced Materials Research, Vols. 181-182, pp. 588-593, 2011
Online since
January 2011
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Price
$32.00
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