Comparison Of Ridge Filters Performance in Human Vein Extraction Using 850nm Near Infrared Led Illumination

Abu Bakar Abd Rahman and Abdullah Bade and Fuei, Pien Chee (2023) Comparison Of Ridge Filters Performance in Human Vein Extraction Using 850nm Near Infrared Led Illumination.

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Abstract

Vein pattern recognition has gained significant attention in recent years due to its potential applications in various fields such as biometrics, medical diagnosis, and security systems. The vein feature extraction algorithm is a crucial factor in the vein visualisation process. This paper investigates the performance of the ridge filters algorithm for vein feature extraction by using the NIR imaging technique to visualise human vein vessels. The 850nm NIR LED spectrum was employed as the vein illumination source combined with no infrared filter camera as the image sensor device. The reflective NIR imaging method was utilised in the experimental setup. Four prominent types of ridge filters, namely Hessian, Meijering, Sato and Frangi, were evaluated in detecting the human vein vessel. Through the evaluations of the comparisons, we demonstrate that Hessian filters offer superior performance in human vein detection for feature extraction using the near-infrared LED 850nm electromagnetic spectrum as the vein illumination source.

Item Type:	Proceedings
Keyword:	Ridge filter, Vein extraction, Vein recognition, Near infrared imaging, Hessian filter
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics Q Science > QH Natural history > QH301-705.5 Biology (General)
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	05 Aug 2024 11:21
Last Modified:	05 Aug 2024 11:21
URI:	https://eprints.ums.edu.my/id/eprint/39479

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