Detection of counterfeit coins based on 3D height-map image analysis
作者：
Highlights：
• Creating six height-map image datasets for fake coin detection.
• Proposing 3D Precipice Border Detection Algorithm for detecting 3D borders.
• No need for image restoration for degraded images in this method.
• Extracting features with a high discriminating capability.
• Feeding an ensemble classifier by feature matrices instead of feature vectors.
摘要
•Creating six height-map image datasets for fake coin detection.•Proposing 3D Precipice Border Detection Algorithm for detecting 3D borders.•No need for image restoration for degraded images in this method.•Extracting features with a high discriminating capability.•Feeding an ensemble classifier by feature matrices instead of feature vectors.
论文关键词：Counterfeit coin detection,3D precipice borders,Ensemble classifier,Height-map images
论文评审过程：Received 10 December 2019, Revised 16 February 2021, Accepted 26 February 2021, Available online 3 March 2021, Version of Record 10 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114801
