Inclined License Plate Recognition Systems in Uncontrolled Environment

• Main Authors: Chih-deng Chang, 張智登
• Other Authors: Shun-Feng Su
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/42011976339601779593

碩士 === 國立臺灣科技大學 === 電機工程系 === 96 === In this thesis, a method for the localization and recognition of inclined license plates is proposed. Our algorithm requires only simple mathematical operations and thus, its computational burden is reduced. The proposed method consists of two parts: localization and preprocessing. Localization is to find probable position of the considered vehicle license plate. Preprocessing on the plate image is to increase character partition accuracy. 100 images in uncontrolled environment are considered to test the effectiveness of our method. These images have different illumination conditions, different resolutions, different distances, different shooting angles, different inclined angles of license plates, and different colors of license plates background. Besides, the efficiency of each step in our algorithm is analyzed. It provides us with information about the critical steps.