Abstract
Vein detection technology has significant applications in many areas such as healthcare, security and aesthetics. In healthcare, vein visualization is highly necessary for making an accurate venipuncture. This work demonstrates a portable hand vein finder system using noninvasive infrared technology that can display the real-time venous image on a monitor. The skin surface is illuminated by a near-infrared (NIR) light source that contains 5 LEDs (850 nm) and 5 LEDs (940 nm). These LEDs are arranged alternately in a circular form. Under NIR light exposition, vein and surrounding tissues are distinguished due to their difference in the brightness and contrast. A 3 MP camera is used to capture the illuminated skin area, and the obtained signal is then transferred to a Raspberry Pi 4 for image processing. The input image is processed with median filtering and contrast-limited adaptive histogram equalization (CLAHE) for displaying on a monitor. After processing, venous images with much better contrast are observed. To project the venous patterns on the skin surface, local adaptive threshold and subsequent morphological image processing are used. After the first algorithm, the venous patterns are segmented out of the image. Then, morphological processing, which has rarely been widely used for vein visualization, further reduces the noise signal, such as hair on the hand thus clearer and sharper venous patterns are obtained. Our work provides an effective and low-cost solution for nursing staff in low and middle-income countries to perform a safe and accurate venipuncture.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jain et al (2004) An introduction to biometric recognition. IEEE Trans Circuits Syst Video Technol 14(1):4–20
Lee et al (2011) New finger biometric method using near infrared imaging. Sensors 11(3):23192333
Marathe et al (2014) A novel wireless vein finder. In: International conference on circuits, communication, control and computing. IEEE, Bangalore, India, pp 277–280
Pan et al (2019) Vein pattern locating technology for cannulation: a review of the low-cost vein finder prototypes utilizing near infrared (NIR) light to improve peripheral subcutaneous vein selection for phlebotomy. Sensors 19(16):3573
Cope M, Delpy DT (1988) System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Med Biol Eng Comput 26(3):289–294
Tran LT, Pham HTT (2018) Designing and building the vein finder system utilizing nearinfrared technique. In: 7th international conference in Vietnam on the development of biomedical engineering. Springer, Singapore, Vietnam, pp 383–387
Pizer et al (1990) Contrast-limited adaptive histogram equalization: speed and effectiveness. In: Proceedings of the first conference on visualization in biomedical computing. IEEE, Atlanta, USA, pp 337–345
Singh R et al (2011) A new local adaptive thresholding technique in binarization. Int J Comput Sci Issues 8:271–277
Oh J, Hwang H (2010) Feature enhancement of medical images using morphology-based homomorphic filter and differential evolution algorithm. Int J Control Autom 8(4):857–861
Tran VT et al (2017) Design and enhance the vein recognition using near infrared light and projector. Sci Technol Dev J 20(K2):91–95
Acknowledgements
This research is funded by the Vietnam’s Ministry of Science and Technology under Project ĐTĐL.CN-40/19.
Conflicts of Interest
The authors have no conflict of interest to declare.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Quan, P.V. et al. (2022). Portable Hand Vein Finder System Based on Near-Infrared Illumination and Morphological Image Processing. In: Van Toi, V., Nguyen, TH., Long, V.B., Huong, H.T.T. (eds) 8th International Conference on the Development of Biomedical Engineering in Vietnam. BME 2020. IFMBE Proceedings, vol 85. Springer, Cham. https://doi.org/10.1007/978-3-030-75506-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-75506-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75505-8
Online ISBN: 978-3-030-75506-5
eBook Packages: EngineeringEngineering (R0)