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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Contactless Palm Vein ROI Extraction using Convex Hull Algorithm
verfasst von : Wee Lorn Jhinn, Michael Goh Kah Ong, Lau Siong Hoe, Tee Connie
Erschienen in: Computational Science and Technology
Verlag: Springer Singapore
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In recent years, increased social concern towards hygienic biometric technology has led to a high demand for contactless palm vein biometric. Nonetheless, there are a number of challenges to be addressed in this technology. Among the most important challenges in the hand rotation issue that is caused inadvertently by unrestricted hand posture. In spite of the existing palm ROI region methods, the inadequacies of handling large rotations have never been accounted. In this paper, a rotation-invariant palm ROI detection method is proposed to handle a hand rotation of up to 360º and thus, providing a high flexibility for hand placement on the sensor. Experiments on the benchmark database validate the effectiveness of the proposed contactless palm vein approach.