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Dental Biometrics for Human Identification Based on Neural Network and Image Properties in Periapical Radiographs

Author(s):

Payal , FET-SSTC,BHILAI(C.G.); Mr. Sandeep Patil, FET-SSTC BHILAI(C.G.)

Keywords:

Dental Radiographs, SOM Cluster, Neural Network

Abstract

The Dental biometric system is used to identify deceased individual. Dental biometric system is used in forensic science. In this system AM radiograph is matched with PM radiograph to identify unidentified individual. Dental biometrics consists of four steps as: preprocessing of dental radiograph, segmentation, feature extraction and matching of AM and PM radiograph. Segmentation is a method used for feature extraction like shape and size of tooth. These features are used in matching of two radiographs and based on this matching, individuals can be identified. In this paper segmentation is used to extract single tooth and also for the dental work extraction. This paper presents matching of two radiographs based on properties and dental work. For the segmentation and matching we have developed algorithm.

Other Details

Paper ID: IJSRDV4I100105
Published in: Volume : 4, Issue : 10
Publication Date: 01/01/2017
Page(s): 159-163

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