Now a days, Human identification has become a major issue. Many biometric authentications like fingerprint, Iris, hand veins, etc., were introduced to identify individuals and they have more complex features in it. Under numerous occasions like disasters, traditional biometric attributes like fingerprints and so on, may not work in light of their contrariness in such cases. They may lead once in a while towards high blunder rate and furthermore the investigation is more perplexing. Biometric using dental features are becoming a leading technique for human identification. Research says that dental features of persons are unique by nature. By research, it was found that the maxillary and mandible jaws of every individual are found to be unique. Here, the majority of the likenesses are coordinated with the goal that person can be actually recognized by its novel element. Along these lines dental biometrics gets need over rather in considering highlights and examination perspective. In this sense, it has been a savvy way to deal with investigate the new fields of exploration. In this paper, a human dental biometric image processing system has been implemented using MATLAB software for easy identification and this system is rotation invariant with greater accuracy.

Keywords | Human identification, Biometrics, Dental radiographs, Segmentation and Matching.