首页 | 本学科首页   官方微博 | 高级检索  
     


Matching of dental X-ray images for human identification
Authors:Anil K Jain [Author Vitae]  Hong Chen [Author Vitae]
Affiliation:Department of Computer Science & Engineering, Michigan State University, 3115 Engineering Building, East Lansing MI 48824, USA
Abstract:Forensic dentistry involves the identification of people based on their dental records, mainly available as radiograph images. Our goal is to automate this process using image processing and pattern recognition techniques. Given a postmortem radiograph, we search a database of antemortem radiographs in order to retrieve the closest match with respect to some salient features. In this paper, we use the contours of the teeth as the feature for matching. A semi-automatic contour extraction method is used to address the problem of fuzzy tooth contours caused by the poor image quality. The proposed method involves three stages: radiograph segmentation, pixel classification and contour matching. A probabilistic model is used to describe the distribution of object pixels in the image. Results of retrievals on a database of over 100 images are encouraging.
Keywords:Forensic dentistry  Dental radiographs  Segmentation  Matching  Human identification  Biometrics
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号