| Título: | Classification and Numbering of Dental Radiographs for an Automated Human Identification System |
| Autores: | Yuniarti, Anny |
| Fecha: | 2012-03-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
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| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | forensic, human identification, dental radiographs, segmentation, classification, dental numbering system |
| Descripción: | Dental based human identification is commonly used in forensic. This is due to the teeth are resistant to temperatures up to 200°C and are not easily got rotten. Thus, teeth are suit for victim identification of natural disaster, fire, bombing, etc. In this paper, we developed an automated human identification system based on dental radiographs. The system has two main stages, the first stage is to arrange a database consisting of labeled dental radiographs, and the second stage is the searching process in the database in order to retrieve the identification result. Both stages use a number of image processing techniques, classification methods, and a numbering system in order to generate dental radiograph’s features and patterns. Our experiments using 6 bitewing and 10 panoramic radiographs that consist of 119 tooth objects in total, has shown good performance of classification. The accuracy of dental pattern classification and dental numbering system are 91.6 % and 81.5% respectively. |
| Idioma: | Inglés |