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Erschienen in:
2018 | OriginalPaper | Buchkapitel
The Method of Person Verification by Use of Finger Knuckle Images
verfasst von : Rafal Doroz, Krzysztof Wrobel, Piotr Porwik, Hossein Safaverdi
Erschienen in: Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
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Abstract
The paper proposes a personal identity verification method based on images of finger knuckles. The knuckle images were recorded using a digital camera and then proceed to extract the furrows appearing on them. The verification was performed by comparing the locations and courses of the furrows on the pattern being verified and on the reference image of finger knuckles. In order to determine the similarity between the images, a new similarity measure was proposed. During the analysis of finger knuckle images, there appears a problem which consists in the fact that the location and size of the same furrow may be different in subsequent images obtained from the same person. This problem results from the elasticity of the human skin. To minimize the problem in question, this paper proposes a solution that consists in matching the furrows with each other before they are compared. For this purpose, a method based on Thin Plate Spline and Shape Context has been used. The usability of this method was verified experimentally.