Personal identification based on skin texture features from the forearm and multi-modal imaging

Journal article


Bianconi, F, Chirikhina, E, Smeraldi, F, Bontozoglou, C and Xiao, P (2016). Personal identification based on skin texture features from the forearm and multi-modal imaging. Skin Research and Technology. 23 (3), pp. 392-398.
AuthorsBianconi, F, Chirikhina, E, Smeraldi, F, Bontozoglou, C and Xiao, P
Abstract

We investigate the use of skin texture features from the inner forearm as a means for personal identi- fication. The forearm offers a number of potential advantages in that it is a fairly accessible area, and, compared with other zones such as fingertips, is less exposed to the elements and more shielded from wear. We extract and combine skin textural features from two imaging devices (optical and capacitive) with the aim of discriminating between different individuals. Skin texture images from 43 subjects were acquired from three different body parts (back of the hand, forearm and palm); testing used the two sensors either separately or in combination. Skin texture features from the forearm proved effective for discriminating between different individuals with overall recognition accuracy approaching 96%. We found that skin texture features from the forearm are highly individual-specific and therefore suitable for personal identification. Interestingly, forearm skin texture features yielded significantly better accuracy compared to the skin of the back of the hand and of the palm of the same subjects.

Keywordsimage processing; personal identification; skin texture; texture analysis; 1103 Clinical Sciences
Year2016
JournalSkin Research and Technology
Journal citation23 (3), pp. 392-398
PublisherBlackwell Publishing Inc.
ISSN0909-752X
Digital Object Identifier (DOI)doi:10.1111/srt.12348
Publication dates
Print19 Nov 2016
Publication process dates
Deposited13 Jan 2017
Accepted18 Oct 2016
Accepted author manuscript
License
CC BY 4.0
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https://openresearch.lsbu.ac.uk/item/8716q

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