计算机科学 ›› 2013, Vol. 40 ›› Issue (Z6): 58-60.

• 智能控制 • 上一篇    下一篇

忆阻细胞神经网络在车牌定位中的应用

张凤清,段书凯,王丽丹,胡小方   

  1. 西南大学电子信息工程学院 重庆400715;西南大学电子信息工程学院 重庆400715;西南大学电子信息工程学院 重庆400715;香港城市大学机械与生物医学工程系 香港999077
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60972155,3),重庆市自然科学基金(CSTC2009BB2305),中央高校基本科研业务费专项(XDJK2012A007,XDJK2010C023),重庆市高等学校青年骨干教师资助

Applications of Memristive Cellular Neural Network in Car License Plate Location

ZHANG Feng-qing,DUAN Shu-kai,WANG Li-dan and HU Xiao-fang   

  • Online:2018-11-16 Published:2018-11-16

摘要: 将新型的电路元件忆阻器与传统细胞神经网络相结合,构建出体积小、功耗低、计算速度快的忆阻细胞神经网络。用该网络实现对车牌图像定位的预处理,对应的计算机仿真结果验证了方案的有效性。提出的忆阻细胞神经网络将提高硬件电路实现的集成度,同时也有利于车牌识别速度和效率的提高。

关键词: 忆阻器,忆阻细胞神经网络,车牌定位,预处理

Abstract: Memristive cellular neural network(MCNN) was proposed in this paper,which combines novel nano-scale circuit device-memristor with cellular neural network(CNN).It has smaller size,lower power consumption and faster computation speed than that of traditional CNN.Then the MCNN was employed for preprocessing of car license plate location.The corresponding computer simulation results demonstrate the effectiveness of the proposed system.This proposed MCNN is expected to be easier for the hardware implementation,useful for improving the speed and efficiency of the car license plate recognition.

Key words: Memristor,Cellular meural network,Car license plate location,Preprocessing

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