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.

• Periodical: Advanced Materials Research (Volumes 181-182)
• Pages: 588-593
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.181-182.588
• Online since: January 2011
• Authors: Hong Wang, Xian Li, Shuang Liu
• Keywords: Adaboost Algorithm, Cascade Classifiers, Haar-Like Feature, License Plate Identification

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