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基于神经网络的硬币识别研究
引用本文:刘美佳,张迅航,王岩.基于神经网络的硬币识别研究[J].黑龙江工程学院学报,2007,21(2):58-60.
作者姓名:刘美佳  张迅航  王岩
作者单位:黑龙江工程学院,电子工程系,黑龙江,哈尔滨,150050;东北农业大学,黑龙江,哈尔滨,150040
摘    要:人工神经网络图像识别技术是随着当代计算机技术、图像处理、人工智能、模式识别理论等发展起来的一种新型图像识别技术,通过对国内几种常用硬币图像的深入研究,提取能够全面表述其特征的6个特征函数,作为输入,应用改进的BP神经网络,实现识别各种硬币图像的面值,识别方法准确、快速、简便.

关 键 词:硬币识别  特征函数  BP神经网络  图像识别
文章编号:1671-4679(2007)02-0058-03
修稿时间:2006-11-21

Research of coins identification based on neural network
LIU Mei-jia,ZHANG Xun-hang,WANG Yan.Research of coins identification based on neural network[J].Journal of Heilongjiang Institute of Technology,2007,21(2):58-60.
Authors:LIU Mei-jia  ZHANG Xun-hang  WANG Yan
Affiliation:1. Dept. of Electronic Engineering, Heilongiiang Institute of Technology, Harbin 150050, China; 2. Northeast Agricultural university, harbin 150040, China
Abstract:The technology of neural network image recognition is a kind of new-style image recognition technology, which is developed due to the theory of present computer technology, image processing, artificial intelligence and pattern recognition. According to the research to several familiar coins image, six feature functions which describe many kinds of coins roundly are proposed in this article. BP network based on the matlab is founded, and then the coin recognition is realized. Experience results show that the method which is proposed in this article can recognize different kinds of coins and the recognition process is fast, simple and convenient.
Keywords:coin recognition  feature functions  BP network  image recognition
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