Registration of finger vein image using skin surface information for authentication

Seung Woo Noh, Hyoun Joong Kong, Sang Yun Park, Ji Man Kim, Seung Rae Lee, Taejeong Kim, Hee Chan Kim

Research output: Contribution to journalConference articleResearchpeer-review

5 Citations (Scopus)

Abstract

The finger vein image acquired with an acquisition system should be properly aligned to proceed with comparing algorithm. However it is not easy to find control the points since the images are naturally blurred with an inherent scattering property. To overcome this problem, we propose a novel finger vein registration method utilizing skin surface information (i.e. wrinkles and outlines). We assumed that finger crooking was insignificant. Images were sampled with intended translation and rotation. Each time, two images were acquired successively by switching the light source; one with infrared light and the other with white light. Degree of rotation and translation of sampled image were calculated using outline features in the white light image and then the infrared image was transformed according to the calculated data. To validate our method, correlation values were computed between identical subjects and different subjects. High correlation values were shown between identical subjects whereas low values were shown between different subjects.

Original languageEnglish
Article number725113
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume7251
DOIs
StatePublished - 2 Jun 2009
EventImage Processing: Machine Vision Applications II - San Jose, CA, United States
Duration: 20 Jan 200922 Jan 2009

Fingerprint

Veins
veins
Authentication
Skin
Registration
Infrared radiation
Correlation methods
Light sources
Scattering
Infrared Image
Infrared
acquisition
light sources
scattering

Keywords

  • Authentication
  • Biometric
  • Finger
  • Finger vein
  • Image registration

Cite this

Noh, Seung Woo ; Kong, Hyoun Joong ; Park, Sang Yun ; Kim, Ji Man ; Lee, Seung Rae ; Kim, Taejeong ; Kim, Hee Chan. / Registration of finger vein image using skin surface information for authentication. In: Proceedings of SPIE - The International Society for Optical Engineering. 2009 ; Vol. 7251.
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abstract = "The finger vein image acquired with an acquisition system should be properly aligned to proceed with comparing algorithm. However it is not easy to find control the points since the images are naturally blurred with an inherent scattering property. To overcome this problem, we propose a novel finger vein registration method utilizing skin surface information (i.e. wrinkles and outlines). We assumed that finger crooking was insignificant. Images were sampled with intended translation and rotation. Each time, two images were acquired successively by switching the light source; one with infrared light and the other with white light. Degree of rotation and translation of sampled image were calculated using outline features in the white light image and then the infrared image was transformed according to the calculated data. To validate our method, correlation values were computed between identical subjects and different subjects. High correlation values were shown between identical subjects whereas low values were shown between different subjects.",
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Registration of finger vein image using skin surface information for authentication. / Noh, Seung Woo; Kong, Hyoun Joong; Park, Sang Yun; Kim, Ji Man; Lee, Seung Rae; Kim, Taejeong; Kim, Hee Chan.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 7251, 725113, 02.06.2009.

Research output: Contribution to journalConference articleResearchpeer-review

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T1 - Registration of finger vein image using skin surface information for authentication

AU - Noh, Seung Woo

AU - Kong, Hyoun Joong

AU - Park, Sang Yun

AU - Kim, Ji Man

AU - Lee, Seung Rae

AU - Kim, Taejeong

AU - Kim, Hee Chan

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AB - The finger vein image acquired with an acquisition system should be properly aligned to proceed with comparing algorithm. However it is not easy to find control the points since the images are naturally blurred with an inherent scattering property. To overcome this problem, we propose a novel finger vein registration method utilizing skin surface information (i.e. wrinkles and outlines). We assumed that finger crooking was insignificant. Images were sampled with intended translation and rotation. Each time, two images were acquired successively by switching the light source; one with infrared light and the other with white light. Degree of rotation and translation of sampled image were calculated using outline features in the white light image and then the infrared image was transformed according to the calculated data. To validate our method, correlation values were computed between identical subjects and different subjects. High correlation values were shown between identical subjects whereas low values were shown between different subjects.

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KW - Biometric

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KW - Image registration

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