
Gender classification problem is an active research area which has attracted a great deal of attention recently. It is a challenging pattern recognition problem. Generally gender classification involves a process of determining the gender. Gender is among the strongest predictors of crime, particularly violent crime. Arrest, self-report, and victimization data consistently show that men and boys commit significantly more crime, both serious and not, than women and girls. This pattern persists despite data indicating that crimes committed by females may be rising. Evidence also suggests that males are generally more aggressive than females, even before the preschool years. A multidisciplinary approach to crime is crucial for understanding both why crime occurs and the conditions for any possible gender differences. Sometimes during the course of a criminal investigation and its subsequent autopsy the pathologist may find his or herself faced with the task of identifying the gender after decomposition. Obviously before decomposition there are detailed differences between the formations of a male or a female but once decomposition has taken a hold and carried out the unpleasant tasks that nature has intended, all that remains is the skeletal form with teeth and possibly some hair to work with. This paper suggests method for classification of gender since it plays an important role for understanding behavioral pattern of crime.