Abstract

Background: In Forensic identification, widely used is Anthropometry which deals with expressing human form in numbers. Out of these Sex and stature are the most important. Identification is also an important criterion in human remains, one of the important tasks for the forensic anthropologist is to determine the Individuality of dismembered, mutilated and fragmentary remains. Determination of stature and gender and comparison with ante mortem data is the processes commonly employed in process of Identification. Aim and Objective: to derive linear regression formulae from correlation of little finger length and stature and later have a comparison of correlation between stature and little finger length with the studies made by earlier researchers. Place of Study: Department of Forensic Medicine of Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Material and Method: The study is made on the Volunteers total 194 subjects were selected irrespective of their caste, religion, dietary habits & socio-economic status at Department of Forensic Medicine of Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Observation and Discussion: Regression equation of Male little finger length on stature is, Male Stature (X) = 86.191 + 4.3727*YRLF + 6.8783*ZLLF. Similarly for Female Stature is highly correlated to little finger length (i.e. Correlation coefficient = 0.80) with P-value is 0.0000. Therefore, Regression equation of Female little finger length on stature is, Female Stature (X) = 85.1299 + 10.2972*YRLF + 1.2561*ZLLF. The linear regression equation derived from little finger length for estimation of stature showed a statistically significant relationship in both the genders. Conclusion: The regression equations arrived in the study can be absolute use for south India population. Our study will help the investigating agencies to collect information about victim around the particular area while minimize the time duration of investigation. It definitely could be proved as a milestone for judiciary in the population of South India region.

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