1BDS Third Year, Department of Oral and Maxillofacial Pathology, Saveetha Dental College and Hospital, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai, India
2Reader, Department of Oral and Maxillofacial Pathology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences
*Corresponding Author: Dr. Gheena S, Reader, Department of Oral and Maxillofacial Pathology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, 162, Poonamalle High Road, Chennai, 600077, Tamil Nadu, India. e-mail: gheena_ranjith@yahoo.co.in
Online published on 7 May, 2019.
Gender and face shape classification from fingerprints is an important procedure in forensic anthropology in order to identify the gender of a criminal, their face shape type and narrow down the scope of suspects search. The use of fingerprint gives a likelihood probability value of the gender of a suspect. This study will show the data collection of fingerprint, face shape and gender in an outpatient population visiting a tertiary care dental hospital in Chennai.
To evaluate and determine the correlation between the fingerprint pattern with their face shape and gender among outpatient population.
The study group comprised of 100 individuals from an outpatient population. The materials used are normal stamp ink and white bond paper. The data obtained will be analysed on the fingerprint pattern and its correlation to the face shape and gender.
In males, the most dominant combination is between whorl type finger print and round face shapes which is 8% of total participants. In females, the most dominant combination is also whorl type finger print and round face shape which is 10% of total participants.
Narrowing of suspects in the criminal identification and reduction in the time consumed are advantages of this study. In anthropology, the skull remaining can be re-built by 3D imaging which will give their face shapes and the gender can be predicted.
Comparison, Fingerprint, Face shape, Gender, Outpatient, Population