Real-time Method of Vehicle License Plate Location Based on Multi-features

Mo, Shaoqing; Liu, Zhengguang; Wei, Weixing

doi:10.1109/iscid.2008.56

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In recent years, Mo [6] achieved high success rate by using a method based on color, texture, geometrical parameters and a series of scanning lines. Sun [7] realized license plate location by designing a method that combined color, edge, and texture information.…”

Section: Introductionmentioning

confidence: 99%

A hybrid vehicle license plate location method based on Gentle AdaBoost and corner validation

Zhang

Wang

2009

SPIE Proceedings

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Nowadays vehicle license plate recognition system (VLPRS) has turned out to be a key technique to many automated transport systems such as road traffic monitoring, automatic highway payment system, automatic traffic video index and searching. It includes license plate location, license plate characters segmentation and license plate characters recognition. Fast and successful license plate region extraction is the first and essential step for VLPRS. In real application environment, many difficulties must be settled, such as the poor image quality caused by uneven lighting condition and shadow, dust and fading affection and various camera observation angles. In this paper, a vehicle license plate location method which combines Gentle Adaboost and Harris corner validation is proposed. It is robustness to the environment illumination variety and suitable to real working environment.

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Section: Introductionmentioning

confidence: 99%