Paper type classification based on a new 3D surface texture measure

Malekmohamadi, Hossein; Emrith, Khemraj; Pollard, Stephen; Adams, Guy; Smith, Melvyn; Simske, Steven

Abstract

A novel three-dimensional (3D) surface texture measure (3DSTM) is presented based on the micro-geometry of paper surfaces to classify different paper substrates. This is useful to automatically determine whether a document is printed on the correct paper substrate to help identify fraud. We use a 4-light source photometric stereo (PS) method to recover the dense 3D geometry of paper surfaces captured using a high-resolution sensing device. We derive a unique 3DSTM for each paper type based on the shape index (SI) map generated from the surface normals of the 3D data. We show that the proposed 3DSTM can robustly and accurately classify paper substrates with different physical properties and different surface textures. The accuracy of the proposed method is validated over a dataset comprising of 21 printed and 22 non-printed paper types and a measure of success over 92% is achieved. © The Institution of Engineering and Technology 2014.

• Journal Article Type: Article
• Acceptance Date: Apr 10, 2014
• Online Publication Date: Apr 7, 2014
• Publication Date: Apr 10, 2014
• Deposit Date: Aug 23, 2017
• Journal: Electronics Letters
• Print ISSN: 0013-5194
• Electronic ISSN: 1350-911X
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Issue: 8
• Pages: 596-598
• DOI: https://doi.org/10.1049/el.2013.2687
• Keywords: paper type classification, 3D surface texture measure, paper surface microgeometry, paper substrates classification, photometric stereo, shape index map, high-resolution sensing device
• Public URL: https://uwe-repository.worktribe.com/output/819107
• Publisher URL: http://digital-library.theiet.org/content/journals/10.1049/el.2013.2687
• Contract Date: Aug 23, 2017