Description

Dental biometrics is used in the forensic odontology to identify individuals based on their dental characteristics. Unlabeled post-mortem dental radiographs are compared with labeled ante-mortem dental radiographs stored in a database to find the highest similarity. This work presents a method for human identification based on dental work information extracted out of panoramic dental radiographs. The main objective of the process is to identify the persons based on the dental biometric. To extract features based on the segmented dental image. To classify the feature extracted and to improve the performance of the proposed method. Using biometrics authentication can be provided to a particular person to access a file, room … etc. Most commonly used biometric is face and finger print. The face and the finger print biometrics can be faked. Masks can be used for the faces or the finger of the person can be faked. Inorder to provide a fake proof biometric system we have to use a biometric that cannot be faked. Dental biometrics cannot be faked and hence it can used for the authentication process. The statistical features can be used inorder to identify the persons. The identification of a person using anyone of the human body part is called as the biometric authentication. The main advantage of the dental biometric is that it cannot be faked. The identification of persons through biometric uses several human biometrics for the identification of the persons. The dental biometric is employed for this process. The dental regions were unique for the persons and hence the persons can be identified more effectively. The dental images were segmented and features were extracted from the segmented portions. The extracted features were then classified inorder to recognize the persons. The performance of the process is measured.