计算机技术与发展2016，Vol.26Issue(12)：160-163,168,5.DOI:10.3969/j.issn.1673-629X.2016.12.035
基于人工神经网络的车牌识别
Vehicle Plate Recognition Based on Artificial Neural Network
摘要
Abstract
License plate as a different unique identification of the vehicle,its identification technology is an important application for com-puter video image in the license plates recognition,which is an important approach to identify a car for a wide range of situations. Due to the improving of the technology at present,the problems are also emerging in the process of recognition. In the stage of preprocessing, segmentation and recognition of the license plate,license plate recognition is an important function module in modern traffic system,and its key factor lies in the identification of Chinese characters,numbers and letters. By improving the license plate recognition rate,the work-ing efficiency of the transport sector is improved. At present,the artificial neural network is widely used because of its superiority in all sorts of image recognition,but because of its slow convergence speed and long time consuming,a lot of restrictions are produced in actual applications. By adopting the combination of genetic algorithm and neural network,the simulation results show that the experimental re-sults of the license plate has good recognition effect,which proves that the method is effective and robust.关键词
车牌识别/神经网络/机器学习/遗传算法Key words
license plate recognition/neural network/machine learning/genetic algorithm分类
信息技术与安全科学引用本文复制引用
吴聪,殷浩,黄中勇,刘罡..基于人工神经网络的车牌识别[J].计算机技术与发展,2016,26(12):160-163,168,5.基金项目
国家自然科学基金青年项目(61300127) （61300127）
湖北省自然科学基金项目(2012FFB00701) （2012FFB00701）
