Vein pattern recognition. Image enhancement and feature extraction algorithms

Septimiu Crisan, Ioan Gavril Tarnovan, Titus Eduard Crisan

Abstract

Vein pattern recognition is one of the newest biometric techniques researched today. While the concept behind the method is quite simple, there are various challenges to be found throughout the design and implementation of a vein scanning device concerning the hardware lighting system and the actual algorithms used for processing the acquired images. In order to keep the scanning errors to a minimum the image acquired from the camera should be almost noiseless and the algorithms should be able to detect the vein pattern in various real life conditions. Many implementations of this method are now in a commercial phase and there is a great need for a system that can detect, analyze and extract the correct human vein pattern while keeping a low cost and reducing the computational needs of the image processing algorithms.
This paper will offer some hardware implementation solutions based on our research and different algorithms will be discussed.

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IMEKO-TC4-2007-060.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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