首页|基于卷积神经网络的钱币图像识别方法研究

基于卷积神经网络的钱币图像识别方法研究

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为利用计算机技术识别钱币,实现对世界文化的弘扬、钱币的保护和知识普及,文章提出了一种基于卷积神经网络的钱币识别模型,详细描述了数据采集、模型搭建和训练的过程.实践结果证明,该模型在钱币识别方面具有较高的精度.这意味着可以通过计算机技术快速准确地识别钱币,从而促进对钱币的保护和传承,丰富人们对世界文化的了解.同时,这项研究成果还可应用于博物馆、收藏界等领域,为相关专业人员提供实用工具,提高钱币知识的普及程度.
Research on coin recognition method based on convolutional neural networks
The purpose of this study is to utilize computer technology for the recognition of coins,aiming to promote world culture,protect coins,and enhance knowledge dissemination.To achieve this goal,a coin recognition model based on convolutional neural networks is proposed in this paper,and the processes of data collection,model construction,and training are elaborately described.Through validation with practical results,it is found that the proposed model exhibits high accuracy in coin recognition.This implies that coins can be swiftly and accurately identified through computer technology,thereby facilitating the protection and inheritance of coins and enriching people's understanding of world culture.Furthermore,the research findings can be applied in fields such as museums and the collecting industry,providing practical tools for professionals and contributing to the dissemination of coin knowledge.

ancient coinconvolutional neural networkdata acquisition

李耀明、杨延喆

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咸阳师范学院 计算机学院,陕西 咸阳 712000

古钱币 卷积神经网络 数据采集

咸阳师范学院省级大学生创新创业训练计划(2022)

S202210722081

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(4)
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