数字图书馆视域下学术论文图像篡改造假检测研究

摘要

[Purpose/Significance] The function of checking and novelty searching is one of the information services provided by digital libraries, and plays an important role in the healthy development of academic circles. However, most of the current detection system detects the text, the detection and recognition function of image has great limitations, which lead to some authors in the detection process opportunistic. Therefore, it is of great significance to study image false detec?tion.[Method/Process] In view of this problem, this paper proposed a model that can identify the image forgery in the pa?per, and designed the frame of the image data detection platform.[ Result/Conclusion] The experiment proved the feasi?bility and validity of the model. It could provide reference for image tampering detection of University Library and improve the quality of information service, and had certain theoretical value.%[目的/意义]论文查重和查新功能是数字图书馆提供的信息服务之一,对学术界健康发展起到重要的作用.然而目前国内各高校图书馆的检测系统大多针对文字进行检测,而图像方面的检测鉴别存在很大的局限性,致使论文中对图像篡改的学术造假日益增多.因此,研究图像造假检测具有重大的意义.[方法/过程]针对这一问题,本文提出了一种能够鉴别论文中图像造假行为的模型,对图像数据检测平台框架进行设计.[结果/结论]通过实验证实了该模型的可行性与有效性,能够为数字图书馆图像篡改检测提供借鉴,提升信息服务质量,具有一定的理论价值.