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The forensic facial reconstruction is a scientific art to construct the ante-mortem face from the human skull. The facial recognition is made by reconstructing the contours of the facial soft tissue thickness (FSTT).These FSTT data are essential for probable face reconstruction but the data of FSTT at particular anthropological landmarks differ in various ethnic groups. Until now several works have been reported on different population but no study exists in which the FSTT of a Gujarati population has been measured. The aim of this study is to compile a set of soft tissue depth data of Gujarati population of India to add to existing literature on FSTT. Computed tomography (CT-scan) has been utilized to measure the 25 different FSTT landmarks of 324 male and 165 female. Present study shows significant differences in certain FSTT of Gujarati population from that of other populations. Our compiled data set of FSTT for the Gujarati population is important in understanding craniofacial characteristics of the Gujarati population and potentially be helpful in forensic identification.

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Sexual dimorphism in a population varies over time due to temporal changes and data on this need to be updated regularly. Further, each population needs its own sex-discriminating anthropometric standards, which can be used on unknown skeletal remains of that population. Sex estimation of fragmented, buried, or burnt remains in which sex-discriminating morphological traits are often impossible to discern presents a huge problem for anthropologists, archaeologists, and forensic experts. The mandible-a strong bone usually found with other skeletal remains-is considered highly sexually dimorphic. In the current study, we investigated the reliability of mandibular dimorphism for sex estimation using 17 variables in the contemporary Indian population. The study included 385 adult mandibles of known sex and age collected from the two medical colleges in northern India. After the measurement of all variables, they were subjected to discriminant function analysis. All variables showed significantly larger dimensions in males except one. The most dimorphic variables included length measurements followed by height; breadth measurements were the least dimorphic. The gonion-gnathion length emerged as the most dimorphic parameter, with sexing of 79.5%. The stepwise and direct analysis resulted in 81.1% and 84.7% accuracy, representing the mandible as highly dimorphic. Factors that affect sexing accuracy and selection of the best variables are also explored and discussed.