摘要
纸张信息数字化即以数字化形式表征纸张信息,并将特定字符信息嵌入非织物成型中,以此生成特定功能性纸张。纸张信息数字化复杂性较高,为提高纸张信息数字化辨识可靠性与唯一性,可以图像处理算法科学处理与有效分析,促使内嵌信息高效精准展示。基于此,由图像采集、图像预处理、图像识别三个阶段搭建了纸张信息数字化图像处理算法,以模拟纸张信息识别,在此基础上对图像处理算法进行了实验测试与分析。结果表明,相比传统算法,搭建的算法耗时更短,速度更快,准确率更高,实时性更强,表明其在保留纸张信息识别精确度的同时,拥有更高的识别效率,高度契合纸张信息数字化图像识别需求。
Digitization of paper information refers to the process of representing paper information in digital form and embedding specific character information into non-woven forming to create specialized paper with specific functions.The digitization of paper information is highly complex.To enhance the reliability and uniqueness of digital identification of paper information,image processing algorithms can be scientifically processed and effectively analyzed to promote efficient and accurate display of embedded information.Therefore,this article constructs a paper information digital image processing algorithm in three stages:image acquisition,image preprocessing,and image recognition,to simulate paper information recognition,based on this,experimental testing and analysis are conducted on the image processing algorithm.The results show that compared with traditional algorithms,the algorithm built in this paper has shorter time consumption,faster speed,higher accuracy,and stronger real-time performance,indicating that it retains the accuracy of paper information recognition while having higher recognition efficiency,which is highly suitable for the digital image recognition needs of paper information.
作者
丁颖
刘晓春
DINH Ying;LIU Xiaochun(Xi’an Mingde Institute of Technology,Xi’an 710000,China)
出处
《造纸科学与技术》
2025年第6期99-103,共5页
Paper Science And Technology
基金
西安明德理工学院创新基金项目(2024MDN06)。
关键词
纸张信息
数字化
图像预处理
特征提取
图像匹配
paper information
digitization
image preprocessing
feature extraction
image matching
