Date of Graduation
Statler College of Engineering and Mineral Resources
Lane Department of Computer Science and Electrical Engineering
Yenumula V Reddy
Hany H Ammar
Forensic scientists are using different kinds of systems and techniques for the identification of missing and deceased individuals. Researchers from West Virginia University, Michigan State University, and University of Miami proposed an Automated Dental Identification System (ADIS) which utilizes dental features for the post mortem identification process. A web-based ADIS, namely Web-ADIS, was developed. The initial testing shows that the system can be used efficiently with a small database.;A new and improved system design has been proposed in this research enabling practical use of the ADIS with a large database. We designate this new system as High Performance Web Automated Dental Identification System Grid (HP Web-ADIS Grid). The ADIS tool uses a set of default databases provided by FBI and other law enforcement agencies for identification and matching. However, certain situations like a plane crash, earthquakes, and tsunamis etc. require special reference databases. The proposed system design provides users with the ability to upload their own reference databases for matching purposes. Analysis of the previous work done on ADIS tool revealed the need for performance enhancement. We observed that the Image Comparison component is very slow and time consuming. To improve system performance, a parallel processing grid based system is proposed. The HP Web-ADIS Grid design utilizes multiple machines to process requests resulting in significant reduction in the processing time. The performance testing of HP Web-ADIS was conducted by comparing a system utilizing a single node with that of the proposed grid based configuration. Results obtained show an exponential improvement in the performance of ADIS significantly reducing the overall time for performing record to record comparisons. Forensic scientists would benefit greatly from this improved and highly efficient system enabling faster retrieval of results.
Bahu, Ali, "High performance web based Automated Dental Identification System" (2009). Graduate Theses, Dissertations, and Problem Reports. 4439.