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

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


Hossein Malekmohamadi

Dr Khemraj Emrith
Associate Head of Departmemt Business Engagement and Partnerships

Stephen Pollard

Guy Adams

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Melvyn Smith
Research Centre Director Vision Lab/Prof

Steven Simske


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.


Malekmohamadi, H., Emrith, K., Pollard, S., Adams, G., Smith, M., & Simske, S. (2014). Paper type classification based on a new 3D surface texture measure. Electronics Letters, 50(8), 596-598.

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
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 50
Issue 8
Pages 596-598
Keywords paper type classification, 3D surface texture measure, paper surface microgeometry, paper substrates classification, photometric stereo, shape index map, high-resolution sensing device
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