Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to Determine Human Age and Gender

Abstract

Age estimation and gender identification process can be generally assessed from analysis of bone maturation in the human skeleton and dentition status. Age and gender determination of an unknown becomes a principal element in identification process and it plays an important part in forensic investigation. Teeth plays vital role in forensic since they can be preserved better than other parts. Bones such as femur and wrist bones also plays vital role in age and gender identification since they are very unique in nature. Long bone helps in forensic investigation for a better age and gender identification. Femur bone is the only long bone in human body and its features like femur head diameter, shaft length, femoral neck angle, condyles width can be considered as best features in age estimation and gender identification. Wrist bone has more unique features than any other bones in human body like carpal bones, fusion of radius and ulna. The current study aspires to accomplish the purpose in developing a computer aided system that identifies features from teeth, wrist and femur bone that will provide accurate gender identification and age estimation in less time. There is more scope for researchers to contribute towards age estimation and gender determination from the analysis of medical images.