基于神经网络的的车牌识别模型
License plate Recognition Model Based on Neural Networks
车牌识别是智能交通系统的重要组成部分,有着广泛的应用领域和美好的应用前景,在不久的将来车牌识别系统会在公安、交通、高速等部门得到广泛应用。本文应用神经网络的自联想模型对车牌号码进行模式识别,该模型具有算法速度快,识别精度高,较高抗噪性能等优点。相信该模型具有一定的实际应用价值。
License Plate Recognition Intelligent Transportation System is an important part of a wide range of applications and a better prospect in the near future license plate recognition system will be in the public security, communications, high-speed, and other departments are widely used. In this paper, neural network since the license plate number on the Lenovo models for pattern recognition, this model has a fast algorithm to identify high-precision, high anti-noise performance advantages. I believe this model has a certain practical value.
刘妍
自动化技术、自动化技术设备计算技术、计算机技术
神经网络联想存储模式识别
Neural networkssociative memorypattern recognition
刘妍.基于神经网络的的车牌识别模型[EB/OL].(2008-12-05)[2025-08-17].http://www.paper.edu.cn/releasepaper/content/200812-161.点此复制
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