Automatic Human Identification based on Dental X-Ray Images
نویسندگان
چکیده
Oral Presentation Preferred JINDAN ZHOU received her B.Sc. degree and M.E. degree in Biomedical Engineering from Southeast University, Nanjing, China in 1999 and 2001 respectively. She is now a Ph.D. student at the Department of Electrical & Computer Engineering at the University of Miami. She has published several papers in the areas of image processing and pattern recognition. Her current research interests are image processing, biometrics and pattern recognition.
منابع مشابه
A Problem of Automatic Segmentation of Digital Dental Panoramic X-Ray Images for Forensic Human Identification
Dental radiographic images are one of the most popular biometrics used in the process of forensic human identification. This led to the creation of the Automatic Dental Identification System with the goal of decreasing the time it takes to perform a single search in a large database of dental records. A fully automated system identifying people based on dental X-ray images requires a prior segm...
متن کاملAutomatic Segmentation of Digital Orthopantomograms for Forensic Human Identification
Dental radiographic images are one of the most popular biometrics used in the process of forensic human identification. This led to the creation of the Automatic Dental Identification System with the goal of decreasing the time it takes to perform a single search in a large database of dental records. A fully automated system identifying people based on dental X-ray images requires a prior segm...
متن کاملDisaster Victim Identification: Automatic Dental Radiograph Image Recognition Using Fuzzy Approach
This research proposes an automatic dental radiograph image recognition using fuzzy approach for disaster victim identification. Moreover, a new method using fuzzy inference system to determine an optimal degree of Zernike moment in the system is also proposed. Correlation coefficient and Euclidean distance are used as input variables for fuzzy set. The difference between the correlation coeffi...
متن کاملDigital Dental X-Ray Image Segmentation and Feature Extraction
The process of analysis of such images is important in order to improve quantify medical imaging systems. It is significant to analysis the dental x-ray images we need features of image. In this paper we present a method for segmentation and feature extraction of dental x-ray images. The proposed method has been implemented by using level-set method for segmentation after image enhancement and ...
متن کاملIntroduction of Novel Tool for Human Identification Based on Dental Image Matching
Forensic dentistry involves the identification of people based on their dental recorded mainly available as radiograph images. An automated dental identification system consists of two main groups: Feature Extraction and Feature Matching. Here we are present new tool for human identification based on dental information and some image processing algorithm. In this paper, first we applied the ISE...
متن کاملKohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003