Author(s):
Ninad Nagrale, Ranjit Ambad, Swapnil Patond, Rohan Gawali
Email(s):
ambad.sawan@gmail.com
DOI:
10.52711/0974-360X.2021.01048 
Address:
Dr. Ninad Nagrale, Dr. Ranjit Ambad, Dr. Swapnil Patond, Dr. Rohan Gawali
1Associate Professor, Dept. of Forensic Medicine and Toxicology, Datta Meghe Medical College, Shalinitai Meghe Medical College and Research Centre Nagpur-441110.
2Associate Professor, Dept. of Biochemistry, Datta Meghe Medical College, Shalinitai Meghe Medical College and Research Centre Nagpur-441110.
3Associate Professor, Dept. of Forensic Medicine and Toxicology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Sawangi (Meghe), Wardha-442001.
4Assistant Professor Dept. of Anatomy Datta Meghe Medical College, Shalinitai Meghe Medical College and Research Centre Nagpur-441110.
*Corresponding Author
Published In:
Volume - 14,
Issue - 11,
Year - 2021
ABSTRACT:
Background: A person's identity means understanding positively who a given individual is. Human identification is a universal method focused predominantly on finger printing and based on scientific principles.
Aims and objectives: To study of fingerprint patterns among Central Indian population. Material and Methods: This prospective study was carried out to determine the prevalence of the type of fingerprints in each finger and their gender distribution among 250 individuals of Central Indian origin comprising 125 males and 125 females. Results: The general distribution of fingerprint patterns in the present study is noted in the same order as defined in the literature. Largest loops (55.3%), moderate whorl (34.7%) and least arch (10.0%) respectively. It was found that loop (57.4 %) and arch (14.6 %) fingerprints were more prevalent in women than in men. In males (41.5 per cent), the Whorl fingerprint is more prevalent compared to females (28.0 per cent). Conclusion: The right hand shows typical fingerprints of the loop and whorl, and the arch fingerprint was more in the left hand.
Cite this article:
Ninad Nagrale, Ranjit Ambad, Swapnil Patond, Rohan Gawali. Analysis of Fingerprint Patterns among Central Indian Population- A Cross Sectional Study. Research Journal of Pharmacy and Technology. 2021; 14(11):5871-3. doi: 10.52711/0974-360X.2021.01048
Cite(Electronic):
Ninad Nagrale, Ranjit Ambad, Swapnil Patond, Rohan Gawali. Analysis of Fingerprint Patterns among Central Indian Population- A Cross Sectional Study. Research Journal of Pharmacy and Technology. 2021; 14(11):5871-3. doi: 10.52711/0974-360X.2021.01048 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2021-14-11-46
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