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作 者:王红芳 武薛 宣静雯 张凯兵[2] WANG Hongfang;WU Xue;XUAN Jingwen;ZHANG Kaibing(Library,Xi'an Polytechnic University,Xi'an 710048,China;School of Electronics and Information,Xi'an Polytechnic University,Xi'an 710048,China)
机构地区:[1]西安工程大学,图书馆,陕西西安710048 [2]西安工程大学,电子信息学院,陕西西安710048
出 处:《微型电脑应用》2023年第8期26-28,35,共4页Microcomputer Applications
基 金:陕西省自然科学基础研究计划重点项目(2018JZ6002);西安工程大学哲学社会科学研究项目(2019ZXSK13)。
摘 要:为了解决“大流通”模式下图书乱架错序问题,利用计算机视觉技术,设计并实现一个基于图书索书号识别的在架图书错序检测系统。该系统对获取的书架图书图像进行书脊检测和索书号区域分割,使用光学字符识别技术识别索书号并进行排序分析,实现书架上乱架错序图书的快速检测和位置标记。通过对笔者所在图书馆流通室内在架图书图像进行验证,表明该系统具有较好的检测效果,可有效提高图书清点工作的效率。In order to solve the problem of disorderly books on library bookshelves,this paper utilizes computer vision technology to design and implement a disorderly detection system for books on the bookshelves in libraries based on book retrieval number recognition.Firstly,the spine detection and retrieval number region segmentation are carried out for the obtained bookshelves'book images,and the retrieval numbers are recognized and sorted by optical character recognition technology,which can achieve the rapid detection and position marking of disorderly books on the bookshelves.Through the book images on the bookshelves collected from the circulation room of the authors'library,it shows that the system has good detection effect and can effectively improve the efficiency of book counting.
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