试用资料库 -- 图像查重：ImaChek, ImageTwin

ImaChek
ImaChek is an advanced automated system designed to detect image manipulation and duplication in scientific research. ImaChek analyzes images extracted from uploaded PDFs or high resolution files and identifies issues such as copy paste modifications, deletions, alterations, and instances of image reuse. By automatically screening for these potential issues, the system helps researchers, institutions, and publishers ensure that visual data in manuscripts is trustworthy and free from both intentional misconduct and honest processing errors.
Username: lib_acq@um.edu.mo
Password: UM-Lib26

试用链结：http://t.cn/AXtzKdgz
试用限期: 2026年2月11日至2026年3月11日

ImageTwin
ImageTwin is an AI‑driven scientific image integrity assessment platform designed to detect duplication, manipulation, plagiarism, and AI‑generated content within figures used in academic manuscripts. It employs deep‑learning–based feature extraction and compares uploaded images against extensive databases of published scientific figures to identify issues such as splicing, copy‑move forgeries, transformed duplicates, and other forms of data falsification.
Username: lib_acq@um.edu.mo
Password: UM_image2026

试用链结：http://t.cn/AXtzKdgZ
试用限期: 2026年2月11日至2026年2月25日