Study of Fingerprint Characteristics in Association to Blood Types and Gender
Authors/Creators
- 1. Associate Professor, Dept of Forensic Medicine & Toxicology, NSC GMC, Khandwa (M.P.)
- 2. Associate Professor, Dept. of Anatomy, GMC, Datia (M.P.)
- 3. Professor and Head, Dept. of Anatomy, GMC, Datia (M.P.)
- 4. Associate Professor, Dept of Forensic Medicine & Toxicology, GMC, Datia (M.P.)
Description
Background: The Scientific study of naturally occurring epidermal ridges and their arrangement on the fingers, palms, and soles—aside from the flexion crease and secondary folds—is known as dermatoglyphics. A fingerprint can be used to identify a person since it has a distinctive pattern. A fingerprint is a slimy, oily imprint of the finger’s friction ridges. Objective: To determine the correlation if any exists between the fingerprint pattern and blood group and gender. Methods: It was a cross-sectional study conducted on volunteered subjects who consented to participate in the study. A total of 250 individuals were enrolled in the study. The pupils were instructed to press each finger on the stamp pad, and their ten fingers’ fingerprints were captured on white paper, which was handed over to the participants immediately after the on-the-spot analysis of the fingerprint pattern using a hand-held magnifying lens, there were four categories for the patterns notably loops, whorls, arches, and composite. Blood type and Rh status were also recorded, and the outcome was compiled and analyzed. Results: The present study indicates that the incidence of blood group B was highest (44.8%) followed by A (27.2%), O (18.4%), and AB (9.6%) blood groups respectively. The incidence of loops was highest in males as compared to females. Similarly, the whorls pattern was found to be higher in males. Arches were higher in females. Whorls are also more common in the B blood group and this was found to be statistically significant (p<0.05). Conclusion: Fingerprint patterns serve as distinctive features for individual identification. Their association with gender and blood group, as well as the awareness of the prevalence of different fingerprint patterns, can aid in identity prediction and authentication.
Abstract (English)
Background: The Scientific study of naturally occurring epidermal ridges and their arrangement on the fingers, palms, and soles—aside from the flexion crease and secondary folds—is known as dermatoglyphics. A fingerprint can be used to identify a person since it has a distinctive pattern. A fingerprint is a slimy, oily imprint of the finger’s friction ridges. Objective: To determine the correlation if any exists between the fingerprint pattern and blood group and gender. Methods: It was a cross-sectional study conducted on volunteered subjects who consented to participate in the study. A total of 250 individuals were enrolled in the study. The pupils were instructed to press each finger on the stamp pad, and their ten fingers’ fingerprints were captured on white paper, which was handed over to the participants immediately after the on-the-spot analysis of the fingerprint pattern using a hand-held magnifying lens, there were four categories for the patterns notably loops, whorls, arches, and composite. Blood type and Rh status were also recorded, and the outcome was compiled and analyzed. Results: The present study indicates that the incidence of blood group B was highest (44.8%) followed by A (27.2%), O (18.4%), and AB (9.6%) blood groups respectively. The incidence of loops was highest in males as compared to females. Similarly, the whorls pattern was found to be higher in males. Arches were higher in females. Whorls are also more common in the B blood group and this was found to be statistically significant (p<0.05). Conclusion: Fingerprint patterns serve as distinctive features for individual identification. Their association with gender and blood group, as well as the awareness of the prevalence of different fingerprint patterns, can aid in identity prediction and authentication.
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IJTPR,Vol14,Issue2,Article27.pdf
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Additional details
Dates
- Accepted
-
2024-01-05
Software
References
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