1Assistant Professor, National Forensic Science University, An Institute of National Importance, Ministry of Home Affairs, Govt. of India, Delhi Campus
2National Forensic Science University, An Institute of National Importance, Ministry of Home Affairs, Govt. of India, Delhi Campus
3Department of Forensic Science, Sandip University, Nashik, Maharastra
4National Forensic Science University, An Institute of National Importance, Ministry of Home Affairs, Govt. of India, Delhi Campus
Stature estimation is the key component of personal identification. There are multiple ways of calculating stature, however, the use of regression equations is well-established and well-documented. The regression equations are population centric and require prior development of models which are specific to different populations. The present study is an attempt to develop regression equations specific to the Mazhabi Sikh population which is inhabits the Punjab state of Northern India. Various anthropometric measurements, including stature and length of head, limbs, fingers, nose, and ear were recorded and analysed to derive regression equations. The correlation analysis reveals the highest correlation between stature and certain anthropometric parameters, such as total upper extremity length in females and hand length in males. The developed regressions equations showed low error rates, therefore, can be successfully used in real cases.
Stature Estimation, Personal Identification, Mazhabi Sikh Population, Regression Equations, Northern India
