Feature Vector Extraction for Carpus for Human Identification

Now a day´s human identification through Image processing is one of the emerging requirements in the world. The use of X-rays is generally used in detection of cracks and fractures in bones. This paper presents a novel & more efficient kind of approach for human identification using feature vector extraction of carpus bones. We will be focusing on the adult age group (18-35 yrs.) of that person because by this time the growths of the bones are stable. The aim of this paper is to identify an unknown person from the database registry using carpus bones distance calculation pattern.