“Mapping the Correlation Between Fingerprint Pore Diameter and Chronological Age”
Article Sidebar
Main Article Content
Fingerprints are unique dermatoglyphic patterns found on the volar surfaces of the fingertips, characterized by ridges and furrows. Poroscopy, the systematic examination of sweat pores located along these ridges, is a significant technique in forensic identification due to the individual specificity of pore configurations. While previous research has established the uniqueness and consistency of pore patterns, the potential influence of aging on these characteristics remains insufficiently studied. Current literature offers limited insight into agerelated changes in pore size, morphology, or visibility, and there is a notable absence of longitudinal data and diverse age cohort studies to fully address this issue. This study aims to address this gap by systematically analysing pore features across four distinct age cohorts: adolescents and young adults (13–24 years), middleaged adults (25–48 years), older adults (49–60 years), and senior adults (60+ years). A total of 400 fingerprint samples were collected from these groups. Fingerprint impressions were obtained using an inkless ink pad on glossy paper, selected for its ability to produce high-resolution prints with clearly visible pores. Adequate pressure was applied to ensure optimal ridge and pore detail. The collection sequence commenced with the right thumb and concluded with the left little finger, with ten prints gathered per age cohort. A mirrorless camera equipped with a fixed focal length and zoom lens was employed for print documentation. The number of pores per ridge segment was manually quantified to calculate the average pore diameter. The results demonstrate the considerable potential of poroscopy in forensic age estimation, highlighting its utility as a supplementary tool for approximating the age of an individual from latent fingerprint evidence recovered at crime scenes.
Downloads
References
M. P. P. P. P. and B. A. Kapoor Neeti. (2023). Introduction of fingerprints (pp. 245–278). October.
Sharma, B. K., Walia, M., Shree Guru Gobind Singh, & Sharma, S. C. (2022). Fingerprint science: A review on historical and contemporary forensic perspectives. [Online]. Available: https://www.researchgate.net/publication/370288150
Rana, A., Choetso, N., Pariya, T., Mor, R., Sk, M., & Shukla, S. (2021). Development of fingerprint on different surfaces by non-conventional methods. [Online]. Available: www.annexpublishers.com
Faridah, Y., Nasir, H., Kushsairy, A. K., Safie, S. I., Khan, S., & Gunawan, T. S. (2016). Fingerprint biometric systems. Trends in Bioinformatics, 9(2), 52–58. https://doi.org/10.3923/tb.2016.52.58
Kaushik, A., & Singh, N. (n.d.). College 2-Rana Pratap Marg. India Academic Journal of Anthropological Studies, 2581–4966. [Online]. Available: www.xournals.com
Kaushal, N., & Kaushal, P. (2011). Human identification and fingerprints: A review. Journal of Biometrics & Biostatistics, 2(4). https://doi.org/10.4172/2155-6180.1000123
June_2019_1560598241_1705575. (2019).
K. U. (2023). Forensic importance of poroscopy in age estimation of the fingerprint donor and in criminal profiling. International Journal of Forensic Sciences, 8(2), 1–8. https://doi.org/10.23880/ijfsc-16000305
Nagesh, K. R., et al. (2011). A preliminary study of pores on epidermal ridges: Are there any sex differences and age-related changes? Forensic Science and Legal Medicine, 18(7), 302–305.
Sharma, B. K., Bashir, R., Hachem, M., & Gupta, H. (2019). A comparative study of characteristic features of sweat pores of finger bulbs in individuals. Egyptian Journal of Forensic Sciences, 9(1). https://doi.org/10.1186/s41935-019-0144-4
Kaur, J., & Dhall, M. (2024). Epidermal ridge sweat pore density: A forensic approach to sex determination. Forensic Science International: Reports, 10. https://doi.org/10.1016/j.fsir.2024.100378
Jain, A., Chen, Y., & Demirkus, M. (2006). Pores and ridges: Fingerprint matching using level 3 features.
P., J. O., & Binda, B. (2000). Poroscopy as a method for personal identification: Issues and challenges. Vol. 1(1).
Kaur, J., & Dhall, M. (2023). Useless or used less? Poroscopy: The evidence of sweat pores. Vol. 9(7).
Anthonioz, A., & Champod, C. (2014). Integration of pore features into the evaluation of fingerprint evidence. Journal of Forensic Sciences, 59(1), 82–93. https://doi.org/10.1111/1556-4029.12302
Sharma, B. K., Bashir, R., Hachem, M., & Gupta, H. (2019). A comparative study of characteristic features of sweat pores of finger bulbs in individuals. Egyptian Journal of Forensic Sciences, 9(1). https://doi.org/10.1186/s41935-019-0144-4
Bhagwat, V., Kumar, D. M., & Lakshmi, K. N. V. (2020). Poroscopy – The study of sweat pores among central Indian population. Scholars International Journal of Anatomy and Physiology, 3(6), 53–56. https://doi.org/10.36348/sijap.2020.v03i06.001
Oklevski, S. (2011). Poroscopy: Qualitative and quantitative analysis of the 2nd and 3rd level detail and their relation. [Online]. Available: https://www.researchgate.net/publication/339831305
Faulds, H. (1913). Faulds 1913.
Gupta, A., & Sutton, R. (2010). Pore sub-features reproducibility in direct microscopic and livescan images: Their reliability in personal identification. Journal of Forensic Sciences, 55(4), 970–975. https://doi.org/10.1111/j.1556-4029.2010.01422.x
Delican, V., Töreyin, B. U., Çetin, E., & Saribey, A. Y. (2023). Direct pore-based identification for fingerprint matching process. Turkish Journal of Electrical Engineering and Computer Sciences, 31(5), 814–827. https://doi.org/10.55730/1300-0632.4019
Gupta, A., Buckley, K., & Sutton, R. (2008). Latent fingermark pore area reproducibility. Forensic Science International, 179(2–3), 172–175. https://doi.org/10.1016/j.forsciint.2008.05.011
Vatsa, M., Singh, R., Noore, A., & Singh, S. K. (n.d.). Combining pores and ridges with minutiae for improved fingerprint verification.

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.