Comparative Analysis of Vein Detection Techniques

  • Pranoti Khollam


Currently in biomedical field a lots of techniques are available for vein detection. Various projects are also going on vein detection. Various image processing software are also being used by researchers. Vein puncture is commonly performed every day in hospitals. Both doctors & nurses facing difficulties in accessing veins in critical situations for giving drug through injections. Also during conflicts like war & catastrophe has shortage of experienced nurses & doctors. This paper viewed different approaches for vein detection using different technique. In this paper the vein image, working method along with block diagram, advantage, software used, results & further improvements for the techniques are compared.

Keywords: Vein detection, image processing, injection


[1] Vishal V. Gaikwad, Sanjay A. Pardeshi, “Vein detection using infrared imaging system”, ISSN (Online): 2347-2820, Volume -2, Issue-3, 2014
[2] Manam Mansoor1, Sravani.S.N2 , Sumbul Zahra Naqvi, Imran Badshah , Mohammed Saleem “Real-time law cast infrared vein imaging system” International Conference on Signal Processing, Image Processing and Pattern Recognition [ICSIPR] 2013.
[3] Mayur Wadhwani, Abhinandan Deepak Sharma, Aditi Pillai, Nikita Pisal, Dr. Mita Bhowmick, “Vein Detection System using Infrared Light” International Journal of Scientific & Engineering Research, Volume 6, Issue 12, December-2015,ISSN 2229-5518
[4] MARYAM ASRAR1, AMIN AL‐HABAIBEH2, MOHAMMED HOUDA3, “Innovative algorithm to evaluate the Capabilities of Visual, Near infrared and Infrared technologies for the detection of Veins for intravenous cannulation”, 1,2Product Design, Nottingham Trent University, Nottingham, NG1 4BU, UK, 3Consultant Obstetrician and Gynaecologist, Airedale General Hospital, Steeton, West Yorkshire, UK.
[5] Naoya Tobisawa, Takeshi Namita, Yuji Kato and Koichi Shimizu “Injection Assist System with Surface and Transillumination Images”, IEEE 2011.
[6] Septimiu Crisan, Ioan Gavril Tarnovan, Titus Eduard Crisan “Radiation optimization and image processing algorithms in the identification of hand vein patterns” Computer Standards & Interfaces 32 -2010.
[7] Ahmed M. Badawi, “Hand Vein Biometric Verification Prototype: A Testing Performance and Patterns Similarity”, Biomedical Engineering Department University of Tennessee, Knoxville, TN, USA.
[8] Sakthivel G, “Hand Vein Detection using Infrared Light for Web based Account”, International Journal of Computer Applications (0975 – 8887)
Volume 112 – No 10, February 2015.
[9] Pengzhuang Wang, Dongmei Sun, “A research on palm vein recognition”, ICSP 2016, IEEE.
[10] Sakthivel G, “Hand Vein Detection using Infrared Light for Web based Account”, International Journal of Computer Applications (0975 – 8887)
Volume 112 – No 10, February 2015.
[11] Mr. Jitesh Chaudhari, Ms. Rasika Yenorkar, Ms. Tejaswi Budre, Mrs.S.V.Kulkarni, “A Low Cost Vein Detection System Using Camera Devices”, International Journal For Technological Research In Engineering,Volume 2, Issue 7, March-2015
[12] Wu Zhihong, Xiao Xiaohong, “Study on Histogram Equalization”, 2011 International Symposium on Intelligence Information Processing and Trusted Computing, IEEE.
[13] Deepak Prasanna.R a*, Neelamegam.P a, Sriram.S b, Nagarajan Raju a, “Enhancement of vein patterns in hand image for biometric and biomedical application using various image enhancement techniques”, International Conference on Modeling Optimization and Computing 2012.
[14] Ritika & Sandeep Kaur, “Contrast Enhancement Techniques for Images– A Visual Analysis”s International Journal of Computer Applications (0975 – 8887) Volume 64– No.17, February 2013.
[15] C. Saravanan, “Color Image to Grayscale Image Conversion”, 2010 Second International Conference on Computer Engineering and Applications, IEEE.
[16] G. Devarajan, V.K. Aatre & C.S. Sridhar, “analysis of median filter”, Cochin University of Science and Technology, Cochin 682 022, IEEE.
[17] Gonzalo R. Arce, Michael P. Mcloughlin, “ Theoretical Analysis of the Max/Median Filter”, ieee transactions on acoustics, speech, and signal processing, vol. Assp-35, no. 1, january 1987.
[18] Ajay P. Dhawale, Prof. S. R. Hirekhan, “Real-Time Image Processing for Biological applicationsthrough Morphological Operations using Lab-VIEW”, IJERT, 3(5), ISSN: 2278-0181(2014)International Journal of Scientific & Engineering Research, Volume 6, Issue 12, December-2015.
[19] Payel Roy, Goutami Dey, Saurab Dutta, Sayan Chakraborty,” Adaptive Thresholding: A comparative study”, 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).
[20] K. Bhargavi, S. Jyothi, “A Survey on Threshold Based Segmentation Technique in Image Processing”, November, 2014 (Special Issue) Vol 3 Issue 12.
[21] M. Parisa Beham, A. B. Gurulakshmi, “Morphological image processing approach on the detection of tumor and cancer cells”. 2012 International Conference on Devices, Circuits and Systems (ICDCS).
[22] Aradhana Singh. Dr. S.C. Prasanna Kuma, Dr. B.G. Sudershan, “Non-Invasive Vein Detection using” , International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 8, August 2016.
[23] Rushdi Zahid Rusho, M Abdul Kadir. “Subcutaneous Vein Detection Using Pigeon Hole Imaging: Simulation Study”, 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)21 - 23 Dec 2017, Dhaka, Bangladesh
[24] Tamim Ahmed, Khandker Sadia Rahman, Sk Subrina Shawlin, Mohammad Hasan, Arnab Bhattacharjee, Shaikh Anowarul Fattah and Celia Shahnaz, “Real Time Injecting Device With Automated Robust Vein Detection Using Near Infrared Camera AndLive Video”, ©2017 IEEE.
63 Views | 56 Downloads
How to Cite
Khollam, P. (2018). Comparative Analysis of Vein Detection Techniques. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). journals.v4iI.379