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Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

Alwazzan Mohammed J.

Polish Journal of Medical Physics and Engineering

2020

Vol. 26, Iss. 2

61--67

Drawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

Verification of people based on palm vein with the ROI automatic appointment

Smorawa D.

Journal of Applied Mathematics and Computational Mechanics

2016

Vol. 15, nr 3

123--133

In the paper, the new approach to identification and verification of people based on the palm vein pattern will be presented. To create the feature vector, palm vein shape geometric arrangement will be applied. For detailed features will be considered similarly to minutiae which was applied in finger lines analysis in vein endings and bifurcation. The methods of vein location on the inner hand, methods of minutiae location, and features coding will be discussed in detail. To extract specific features a two-dimension density function will be used. The method to determine minutiae-vein bifurcation and endings will be presented.

Biometric Systems Based on Palm Vein Patterns

Smorawa D., Kubanek M.

Journal of Telecommunications and Information Technology

2015

nr 2

18--22

The work covers issues related to the design of biometric systems based on the hand vascular pattern. The study includes analysis of various stages of biometric systems design ranging from acquisition, feature extraction and biometric pattern creation for verification methods. The extraction methods based on two-dimensional density function and the extraction of the characteristic points - minutiae are presented. The article features the results of tests carried out on two different bases of blood vessels in a hand.