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Detection of Gender in Crime Investigation


Sayantani Ghosh , University of Calcutta; Prof. Samir Kumar Bandyopadhyay, University of Calcutta


Support Vector Machine, Kernel, Facial Features, Gender Identification, Crime Scene


The study and reconstruction of crime scenes has always intrigued common man. Determination of the identity of individuals relevant to a crime scene plays an integral role in forensic investigation and the associated medico-legal practices. This paper proposed a computer based system that could effectively predict the gender of an individual using SVM basic kernel functions.

Other Details

Paper ID: IJSRDV4I50365
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 622-624

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