A Real-Time Recognize License Plates System - An Efficient Approach to Recognize Multiple License Plates in Video

• Main Authors: Guang-Joung Chen, 陳光中
• Other Authors: Chuan-Ming Liu
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/5sx37j

碩士 === 國立臺北科技大學 === 電資碩士班 === 98 === Locating license plates from images is one of the interesting topics in pattern recognition and has many applications. Due to the complicated background in the images, it is not easy to locate the plates in real time and precisely. In particular, when the computing power of devices is limited, such a task becomes more difficult. This thesis considers the mobile devices, like netbooks, of which the resources are limited and proposes an effective approach to locating the license plates from images having complicated background. We use the license plates in Taiwan as examples. There are two stages in the proposed approach. In the first stage, the candidates are found according to Morphology based on the characteristics of colors and Sobel edge detection. In the second phase, the refinement on the candidate set is done using the adapted Hough transformation and the characteristics of the plates. The proposed approach is validated through experiments. According to the experimental results, the proposed approach can locate the plates more precisely and reduce the computing complexity; thus accelerate the computation.