基于OCR的景点翻译APP的设计与实现  

Design and Implementation of Scenic Spot Translation APP Based on OCR

作　　者：李英 LI Ying(Sichuan Institute of Information Technology,Guangyuan Sichuan 628017,China)

机构地区：[1]四川信息职业技术学院,四川广元628017

出　　处：《信息与电脑》2024年第23期1-5,共5页Information & Computer

基　　金：2022年学校青年课题“基于卷积神经网络的安卓旅游景点翻译助手”(课题编号:2022C31)。

摘　　要：文章介绍了一种基于光学字符识别(Optical Character Recognition,OCR)技术的旅游景点翻译系统,该系统支持用户通过输入文本或上传图片进行景点名称的翻译和查询。系统具备实用性、稳健性、实时性、精确性和高效性等优势,能够为用户提供便捷、高效的旅游翻译服务。通过改进的图像处理技术和基于SLeNet-5卷积神经网络的字符识别算法,系统确保了高准确性和稳定性。此外,系统还具有较低的内存占用和流畅的运行速度,为用户提供了高效、便捷的旅游服务体验。The article introduces a tourism attraction translation system based on optical character recognition(OCR)technology,which supports users in translating and querying attraction names by inputting text or uploading images.The system boasts practicality,robustness,real-time capabilities,accuracy,and efficiency,providing users with convenient and efficient translation services for tourism.Through improved image processing technology and character recognition algorithms based on the SLeNet-5 convolutional neural network,the system ensures high accuracy and stability.Moreover,the system features low memory consumption and smooth operation speed,offering users an efficient and convenient experience in tourism services.

关 键 词：OCR技术 卷积神经网络 旅游翻译助手 图像处理 实时翻译 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]