关键词: 色彩迁移, 文本特征约束, 车牌去雾, 车牌识别

Abstract:

Aiming at the problems of foggy license plate images and low license plate recognition rate in foggy weather, a defogging algorithm based on color transfer and regularization constraints of license plate images is proposed. The algorithm mainly includes two modules for defogging by color transfer and text repair. Firstly, the MKL color transfer algorithm is used to restore the color information of foggy license plate. Then, the intensity and gradient characteristics of the license plate’s text pixels are applied to regularize the license plate image, thereby repair text. Experimental results show that, regardless of the synthetic foggy license plate map or natural foggy license plate  map, the algorithm has a good defogging effect, and can effectively improve the license plate recognition rate in the three foggy environments of mist, medium fog and dense fog.

Key words: color transfer, text feature constraints, license plate defogging, license plate recognition