Research of License Plate Recognition based on Improved BP Neural Network

摘要：

The paper considers a new design of BP neural network for license plate recognition. The primary contribution of the paper is in proposing an improved neural network structure, which combines the nowadays-new license plate features with the existing license plate recognition based on BP neural network. Furthermore the back propagation-learning rate and recognition rate of the BP neural network are improved; consequently study time is reduced. The experimental result shows that the new network structure can yield robustness and effectiveness on character recognition.

关键词： icense plates recognition BP neural networks character recognition

作者: Ning Chen Li Xing

作者单位: College of computer science Xian Polytechnic University Xian ,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 482-485

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）