Dental Image Matching By Canny Algorithm for Human Identification

In this paper we collect some dental radiographs from the internet & doctor’s clinic. A mathematical morphology approach is offered to the problem of teeth segmentation. We are presenting human identification by canny algorithm using image processing in MATLAB. We matched all edges of d1 image with other images and the results show that from compare to other approaches our radio graphic approach exhibits the lowest failure rate among all approaches studied.