A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering

•The improved structure of SIFT can extract as many as possible interesting and effective points in the homogeneous region(s), that enables the ability of CMFD in homogenous regions simultaneously under large-scaling attacks.•The proposed FLM algorithm makes use of a newly designed feature label and OLC for significantly reduced computation. As a result, matching efficiency is significantly improved.•The proposed HSF algorithm can effectively filter out suspicious outliers. Furthermore, the fusion of the three-hierarchical filtering segmentations can indicate forgery regions precisely.