Integrating Biometric Systems with Clinical Dermatoglyphics: An Automated Approach to atd Angle Measurement for Disease Screening

DOI

10.2991/978-94-6239-610-4_55How to use a DOI?

Keywords

Dermatoglyphics; atdangle; Biometricsystems; Dermo-Health network; Disease screening; Electronic health records; Non-invasive Diagnostics; Automated Image Processing

Abstract

Dermatoglyphics, the study of skin ridge patterns on the fingers and palms, provides a unique window into a person’s genetic health. A key metric in this field is the atd angle, a palmar measurement that has been scientifically linked to conditions such as Type 2 Diabetes, congenital heart defects, and various chromosomal disorders. Despite its diagnostic potential, the traditional method of using ink and manual protractors is often inaccurate, messy, and time-consuming, preventing its use in modern medicine.

This paper proposes a modernized solution: The “Dermo-Health” Network, a hospital-wide biometric integration system. The goal of this research is to replace manual methods with high-resolution digital scanners and automated image-processing software. By capturing a patient’s palm print digitally at the point of care, the system can instantly locate the three critical triradii points and calculate the atd angle with mathematical precision, eliminating human error. Under the “Dermo-Health” framework, these biometric stations would be integrated into hospital departments. The resulting dermatoglyphic data is then synced directly with Electronic Health Records (EHR), allowing doctors to use these markers as a non-invasive “early warning system.” This automated approach offers a cost-effective, zero-risk screening tool that can identify high-risk patients before they show clinical symptoms. By bridging the gap between ancient biological markers and modern biometric technology, the “Dermo-Health” Network transforms dermatoglyphics into a standardized, evidence-based diagnostic tool for the global healthcare systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chandolu Hima Bindu
AU  - Dhanunjaya Rao Reddy
PY  - 2026
DA  - 2026/05/05
TI  - Integrating Biometric Systems with Clinical Dermatoglyphics: An Automated Approach to atd Angle Measurement for Disease Screening
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 668
EP  - 683
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_55
DO  - 10.2991/978-94-6239-610-4_55
ID  - Bindu2026
ER  -