Introduction of Novel Tool for Human Identification Based on Dental Image Matching

Forensic dentistry involves the identification of people based on their dental recorded mainly available as radiograph images. An automated dental identification system consists of two main groups: Feature Extraction and Feature Matching. Here we are present new tool for human identification based on dental information and some image processing algorithm. In this paper, first we applied the ISEF algorithm on the dental image data base and get silent features likes contour, artificial prosthesis, number of cupids, etc. is extracted from the radiographs. Then applied different threshold values on these extracted dental images and get feature matching of different dental images and using in this information show that human identification is done easy base on dental images. Keywords— Threshold, ISEF Algorithm Feature Extraction, Ante-mortem (AM) Images, Post-mortem (PM) Images, Human Identification