摘要
文字识别技术作为人工智能领域的重要分支,利用计算机视觉对图像中的文字进行检测、识别和转换,已广泛应用于文档数字化、自动化表单处理等多个场景,提升了信息处理的效率和准确性。计算机视觉技术通过模拟人眼的视觉感知,使计算机能够从图像或视频中识别出文字信息。本文详细探讨了基于计算机视觉的文字识别软件设计与实现,从文字识别技术的基本概念出发,深入分析了计算机视觉技术在文字识别中的关键应用,包括图像处理和特征提取等,并通过案例分析,为未来的研究方向和技术改进提供了参考。
As an important branch of artificial intelligence,text recognition technology utilizes computer vision to detect,recognize,and convert text in images.It has been widely applied in multiple scenarios such as document digitization and automated form processing,improving the efficiency and accuracy of information processing.Computer vision technology simulates the visual perception of the human eye,enabling computers to recognize textual information from images or videos.This article discusses in detail the design and implementation of text recognition software based on computer vision.Starting from the basic concepts of text recognition technology,it deeply analyzes the key applications of computer vision technology in text recognition,including image processing and feature extraction,and provides reference for future research directions and technological improvements by analyzing case.
作者
杨佳骏
覃天
田圻
YANG Jiajun;QIN Tian;TIAN Qi(School of Intelligent Engineering,Hubei Vocational and Technical College of Industry,Shiyan Hubei 442000)
出处
《软件》
2024年第7期65-67,共3页
Software
关键词
计算机视觉
文字识别
软件设计
设计实现
computer vision
text recognition
software design
design implementation
