STATURE ESTIMATION FROM CEPHALO FACIAL MEASUREMENTS IN GUJARATI RAJPUT POPULATION

Stature estimation plays a crucial role in forensic anthropology and biological profiling, aiding in personal identification in forensic and archaeological contexts. This study focuses on stature estimation from cephalo-facial measurements in the Gujarati Rajput population, an endogamous group with distinct anthropometric traits. Using a sample of individuals from this population, various craniofacial parameters were recorded and analyzed to establish predictive regression models for stature estimation. The study employed standard anthropometric techniques to measure cephalo-facial dimensions, including head length, head breadth, facial height, and bizygomatic breadth. Statistical analyses, including correlation and regression analysis, were performed to determine the relationship between stature and craniofacial measurements. The findings highlight significant correlations between specific craniofacial dimensions and stature, enabling the formulation of population-specific regression equations for accurate stature estimation. These results contribute to forensic casework, providing a scientific basis for reconstructing biological profiles from incomplete skeletal remains. The study also emphasizes the importance of population-specific anthropometric standards in forensic anthropology.