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Paper Details

Histomorphological comparison of human hair among Brahmins and Domars of Uttar Pradesh

Ranjeet Singh and M. P. Sachdeva

Journal Title:Academic Journal of Anthropological Studies

Scene of crime is rich in information that reveals the nature of the criminal activity and the identities of those person involved. During the course of a criminal investigation, many types of physical evidence are encountered from the scene of crime. One of the most commonly recovered evidence is hair in different cases like sexual assault, murder, mass disaster etc. Hairs help the investigators in scrutinizing the valuable information for potential leads. Human hair has both anthropological as well as forensic identification significance. Morphological and histological characteristics of human scalp hair have found its importance for racial classification, in forensic investigations, nutritional aspects and other biological studies. Anthropologists for a long time have recognized the colour, form and texture of the human scalp hair as a criterion for racial classification. In the present study, two diverse population groups (Brahmins and Domars) of Uttar Pradesh, India were considered and 823 individual’s samples were collected. In which 418 were Brahmins and 415 were Domar ranging in the age of 10 to 70. Every single hair has been examined for the thirteen different features such as hair colour, hair shaft form, hair texture, hair quantity, hair distal end characteristics, medulla distribution, hair shaft diameter, medulla diameter, medullary index, scale shape, number of scales per unit (2mm) length, scale count index, hair index for studying the range of variability that exists in terms of histomorphological characters of hair among population of Uttar Pradesh, India. Key Words: Human Hair, Hair Colour, Hair Shaft Form, Hair Texture, Hair Quantity, Hair Distal End Characteristics, Medulla Distribution, Hair Shaft Diameter, Medulla Diameter, Medullary Index, Scale Shape, Number of Scales Per Unit (2mm) Length, Scale Count Index, Hair Index.