Frequency of Basic Types of Dorsal Hand Vein Patterns in the Slovak Population

Authors

DOI:

https://doi.org/10.18778/1898-6773.89.1.03

Keywords:

venous morphology, biometric identification, sex differences, vascular symmetry

Abstract

 

 Introduction

Dorsal hand vein pattern represents a unique morphological feature of the human body which may serve as a biometric tool for forensic identification.

Study Aim

The primary aim of this study was to determine the frequency and distribution of dorsal hand vein patterns in a Slovak adult population, with respect to sex and laterality of the hand.

Material and Methods

This study provides a morphological analysis of dorsal hand vein patterns in a sample of 70 healthy adults from the Slovak population. Vein configurations were classified using the 1951 system developed by Suchý, distinguishing four main types: branched, double-branched, simple, and composite.

Results

The most frequent patterns were branched and double-branched, while the composite form was rare. No statistically significant differences were found between sexes or between hands, suggesting a high degree of bilateral and intersexual symmetry. A rare morphological subtype, labelled 2N4, appeared exclusively in females on the left hand, potentially reflecting sex-linked vascular variation.

Conclusion

The results support the hypothesis that dorsal venous architecture is largely determined by early developmental and genetic factors. Given the pattern stability and inter-individual variability, dorsal hand veins remain a promising biometric marker. Despite limitations related to imprinting technique and assessment subjectivity, the study offers a valuable anatomical reference for future biometric, forensic, or anthropological research.

Downloads

Download data is not yet available.

References

Ahmed, M. A., Ebied, H. M., El-Horbaty, E. S. M., & Salem, A. B. M. (2013). Analysis of palm vein pattern recognition algorithms and systems. International Journal of Bio-Medical Informatics and e-Health, 1(1), 10–14
View in Google Scholar

Alashik, K. M., & Yildirim, R. (2021). Human identity verification from biometric dorsal hand vein images using the DL-GAN method. IEEE Access, 9, 74194–74208. https://doi.org/10.1109/access.2021.3076756
View in Google Scholar

Charkoudian, N. (2010). Mechanisms and modifiers of reflex induced cutaneous vasodilation and vasoconstriction in humans. Journal of Applied Physiology, 109(4), 1221–1228. https://doi.org/10.1152/japplphysiol.00298.2010
View in Google Scholar

Černáček, J. (1994). Pravá a ľavá polovica ľudského mozgu. Veda.
View in Google Scholar

Elmegarhi, S. S., Amarin, J. Z., Hadidi, M. T., Badran, D. H., Massad, I. M., Bani-Hani, A. M., & Shatarat, A. T. (2018). Dorsal metacarpal veins: anatomic variation and potential clinical implications. Anatomical Science International, 93(2), 238–243. https://doi.org/10.1007/s12565-017-0403-0
View in Google Scholar

Fiala, P., Valenta, J., & Eberlová, L. (2015). Stručná anatomie člověka. Charles University in Prague, Karolinum Press.
View in Google Scholar

Freerksen, E. (1937). Die Venen des menschlichen Handrückens. Zeitschrift für Anatomie und Entwicklungsgeschichte, 108(1), 82– 111. https://doi.org/10.1007/BF02134549
View in Google Scholar

Harchana, R., Mahalakshmi, A., Nivetha, A. S., & Sridhar, A. V. (2021). Finger vein pattern recognition using image processing technique. Materials Today: Proceedings, 47, 151–153. https://doi.org/10.1016/j.matpr.2021.04.030
View in Google Scholar

Hartung, B., Rauschning, D., Schwender, H., & Ritz-Timme, S. (2020). A simple approach to use hand vein patterns as a tool for identification. Forensic Science International, 307, 110115. https://doi.org/10.1016/j.forsciint.2019.110115
View in Google Scholar

Hsu, C. B., Hao, S. S., & Lee, J. C. (2011). Personal authentication through dorsal hand vein patterns. Optical Engineering, 50(8), 087201–087201. https://doi.org/10.1117/1.3607413
View in Google Scholar

Hsu, C. B., Lee, J. C., Chuang, S. J., & Kuei, P. Y. (2015). Gaussian directional pattern for dorsal hand vein recognition. The Imaging Science Journal, 63(1), 54–62. https://doi.org/10.1179/1743131X14Y.0000000070
View in Google Scholar

Huang, D., Tang, Y., Wang, Y., Chen, L., & Wang, Y. (2014). Hand-dorsa vein recognition by matching local features of multisource keypoints. IEEE Transactions on Cybernetics, 45(9), 1823–1837. https://doi.org/10.1109/TCYB.2014.360894
View in Google Scholar

Hung, Y. T., Cheng, C. Y., Chen, C. B., & Huang, Y. L. (2022). Ultrasound analyses of the dorsal hands for volumetric rejuvenation. Aesthetic Surgery Journal, 42(10), 1119–1126. https://doi.org/10.1093/asj/sjac035
View in Google Scholar

Kaczeńska, M., Diling-Ostrowska, E. (1961). Znaczenie próby Minora w określaniu ręczności. Polish Journal of Neurology and Neurosurgery, 10, 47.
View in Google Scholar

Lajevardi, S. M., Arakala, A., Davis, S., & Horadam, K. J. (2014). Hand vein authentication using biometric graph matching. IET Biometrics, 3(4), 302–313. https://doi.org/10.1049/iet-bmt.2013.0086
View in Google Scholar

Lefkovits, S., Emerich, S., & Lefkovits, L. (2022). Boosting unsupervised dorsal hand vein segmentation with U-Net variants. Mathematics, 10(15), 2620. https://doi.org/10.3390/math10152620
View in Google Scholar

Minor, L. (1931). Gaucherie et droiterie. Revue Neurologique, 2, 488.
View in Google Scholar

Rak, R., Matyáš, V., Říha, Z., Porada, V., Bitto, O., Daughman, J. (2008). Biometrie a identita člověka – ve forenzních a komerčních aplikacích. Grada Publishing.
View in Google Scholar

Suchý, J. (1951a). Asymetrie venosního systému proximální extremity. Zprávy Antropologie Společnosti, 4, 54–56.
View in Google Scholar

Suchý, J. (1951b). Variabilita podkožních žíl metakarpálnych. Rozpravy II. třídy České akademie, 61(27), 1–22.
View in Google Scholar

Suchý, J. (1961). Dědičnost a stanovení formulí u žilných vzorců na dorsu ruky. Antropologický archív memoriál prof. Dr. Jiřího Malého. Společnosť Národního Muzea.
View in Google Scholar

Wang, Y., Cao, X., & Miao, X. (2022). Cross-device recognition of dorsal hand vein images by two-stage coarse-to-fine matching. The Visual Computer, 38(11), 3595–3610. https://doi.org/10.1007/s00371-021-02190-7
View in Google Scholar

Wilson, C. (2010). Vein pattern recognition: a privacy-enhancing biometric. CRC Press.
View in Google Scholar

Zehtab Nayebi, M., & Turgut, Z. (2021). Dorsal Hand Veins Based Biometric Identification System Using Deep Learning. Erzincan University Journal of Science & Technology, 14(1), 1–15. https://doi.org/10.18185/erzifbed.848004
View in Google Scholar

Zrzavý, J. (1957). Anatomie pro výtvarníky. Státní Zdravotnické Nakladatelství.
View in Google Scholar

Downloads

Published

26-02-2026

How to Cite

Švábová, P., Kozáková, Z., Orosová, S., Chovancová, M., Matušíková, Z., & Beňuš, R. (2026). Frequency of Basic Types of Dorsal Hand Vein Patterns in the Slovak Population. Anthropological Review, 89(1), 25–37. https://doi.org/10.18778/1898-6773.89.1.03

Issue

Section

Articles