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. 2012:2012:626148.
doi: 10.1155/2012/626148. Epub 2012 May 10.

Influence of skin diseases on fingerprint recognition

Martin Drahansky  1 , Michal Dolezel, Jaroslav Urbanek, Eva Brezinova, Tai-hoon Kim
Affiliations

Influence of skin diseases on fingerprint recognition

Martin Drahansky et al. J Biomed Biotechnol. 2012.

Abstract

There are many people who suffer from some of the skin diseases. These diseases have a strong influence on the process of fingerprint recognition. People with fingerprint diseases are unable to use fingerprint scanners, which is discriminating for them, since they are not allowed to use their fingerprints for the authentication purposes. First in this paper the various diseases, which might influence functionality of the fingerprint-based systems, are introduced, mainly from the medical point of view. This overview is followed by some examples of diseased finger fingerprints, acquired both from dactyloscopic card and electronic sensors. At the end of this paper the proposed fingerprint image enhancement algorithm is described.

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Figures

Figure 1
Figure 1
Skin structure [5].
Figure 2
Figure 2
Hand eczema.
Figure 3
Figure 3
Pompholyx (dishidrosis).
Figure 4
Figure 4
Tinea of the palm.
Figure 5
Figure 5
Pyoderma [, page 262].
Figure 6
Figure 6
Cellulite of the fingertip [, page 1000].
Figure 7
Figure 7
Pitted keratolysis [, page 269].
Figure 8
Figure 8
Acanthosis nigricans [, page 502].
Figure 9
Figure 9
Systemic sclerosis.
Figure 10
Figure 10
Raynaud's phenomenon [, page 405].
Figure 11
Figure 11
Drug-included skin reaction to gold [, page 128].
Figure 12
Figure 12
Leprosy—loss of tissue [, page 351].
Figure 13
Figure 13
Herpes simplex virus. (a) patient with HIV [, page 813]; (b) deep-seated blisters [, page 369].
Figure 14
Figure 14
Erythema multiforme.
Figure 15
Figure 15
Kawasaki's disease [, page 425].
Figure 16
Figure 16
Secondary syphilis.
Figure 17
Figure 17
Hereditary hemorrhagic Telangiectasia ((a) [, page 844], (b) [, page 468]).
Figure 18
Figure 18
Warts [, page 404].
Figure 19
Figure 19
Psoriasis.
Figure 20
Figure 20
Epidermolysis bullosa [, page 93].
Figure 21
Figure 21
Fingerprints with warts—verruca vulgaris (same person).
Figure 22
Figure 22
Fingerprints with atopic eczema (different people).
Figure 23
Figure 23
Fingerprints with light psoriasis (same person).
Figure 24
Figure 24
Fingerprints with advanced psoriasis (different people).
Figure 25
Figure 25
Process of the fingerprint image enhancement.
Figure 26
Figure 26
Determination of the upward and downward sections of the curve in a side cut of a papillary line provided by the fingerprint image.
Figure 27
Figure 27
Phase image (a) and phase image with most significant frequencies (b).
Figure 28
Figure 28
Normalized cross-correlation image in the color space with a marked global peak in it (upper left corner).
See this image and copyright information in PMC

References

    1. Evaluation of Fingerprint Recognition Technologies - BioFinger. Public Final Report, version 1.1, Bundesamt für Sicherheit in der Informationstechnik, p. 122, 2004.
    1. Jain AK, Flynn P, Ross AA. Handbook of Biometrics. New York, NY, USA: Springer; 2008.
    1. Bolle RM, Connell JH, Pankanti S, Ratha NK, Senior AW. Guide to Biometrics. New York, NY, USA: Springer; 2004.
    1. James WD, Berger TG, Elston DM. Andrew’s Diseases of the Skin—Clinical Dermatology. 10th edition. Ontario, Canada: Elsevier Saunders; 2006.
    1. Habif TP. Clinical Dermatology. 4th edition. Hong Kong, China: Mosby; 2004.

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