Citation

Connie, Tee and Lau, Siong Hoe and Goh, Michael Kah Ong and Wee, Lorn Jhinn (2019) Contactless Palm Vein ROI Extraction using Convex Hull Algorithm. In: Computational Science and Technology. Springer Verlag, Lecture Notes in Electrical Engineering, pp. 25-35. ISBN 978-981131055-3

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Abstract

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.

Item Type:	Book Section
Uncontrolled Keywords:	Biometric, ROI, rotation invariant, detection
Subjects:	S Agriculture > SD Forestry
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	13 Jan 2022 04:01
Last Modified:	13 Jan 2022 04:01
URII:	http://shdl.mmu.edu.my/id/eprint/8979

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