The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Automating Human Identification Using Dental X-Ray Radiographs
Abstract
The goal of forensic dentistry is to identify individuals based on their dental characteristics. This chapter presents a system for automating that process by identifying people from dental X-ray images. Given a dental image of a postmortem (PM), the proposed system retrieves the best matches from an antemortem (AM) database. The system automatically segments dental X-ray images into individual teeth and extracts representative feature vectors for each tooth, which are later used for retrieval. This chapter details a new method for teeth segmentation, and three different methods for representing and matching teeth. Each method has a different technique for representing the tooth shape and has its advantages and disadvantages compared with the other methods. The first method represents each tooth contour by signature vectors obtained at salient points on the contour of the tooth. The second method uses Hierarchical Chamfer distance for matching AM and PM teeth. In the third method, each tooth is described using a feature vector extracted using the force field energy function and Fourier descriptors. During retrieval, according to a matching distance between the AM and PM teeth, AM radiographs that are most similar to a given PM image, are found and presented to the user. To increase the accuracy of the identification process, the three matching techniques are fused together. The fusion of information is an integral part of any identification system to improve the overall performance. This chapter introduces some scenarios for fusing the three matchers at the score level as well as at the fusion level.
Related Content
|
Vivek Bhardwaj, Bilal Ahmed, Mirza Shuja, Deepak Thakur, Tanya Gera, Mukesh Kumar.
© 2026.
26 pages.
|
|
Vivek Bhardwaj, Tanima Thakur, Mrinalini Rana, Jeyaganesh Viswanathan.
© 2026.
24 pages.
|
|
Abhishek Sharma, Abhishek Mishra, Shweta Jain, Khushboo Karodiya, Priyanka Sharma.
© 2026.
10 pages.
|
|
Akash Mishra, Nandini Bansod, Dinesh Baban Kamble.
© 2026.
18 pages.
|
|
Anjali Rawat, George Kurian, Romil Rawat, Janet Olivia Richmond, Anand Rajavat, Purvee Bhardwaj.
© 2026.
28 pages.
|
|
Antonio Gonzalez-Torres.
© 2026.
26 pages.
|
|
Anjali Rawat, A. Samson Arun Raj, Janet Olivia Richmond, Anand Rajavat, Antonio González-Torres, Purvee Bhardwaj.
© 2026.
22 pages.
|
|
|