Wavelet-based skull contour identification.
- Author:
Wenbin ZHAO
1
;
Fuzeng YANG
;
Yanning ZHANG
Author Information
1. Shaanxi Province Computer Graphics Key Lab, College of Computer, Northwestern Polytechnical University, Xi'an 710072, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Cephalometry;
methods;
Humans;
Image Interpretation, Computer-Assisted;
Image Processing, Computer-Assisted;
methods;
Radiography;
Skull;
anatomy & histology;
diagnostic imaging
- From:
Journal of Biomedical Engineering
2008;25(5):1034-1038
- CountryChina
- Language:Chinese
-
Abstract:
Biometric recognition methods for human identification have received researchers' attention. Seeing that the prominent characteristics of skull biometrics are not affected by facial expression and illumination, we present a new approach compounded of several features. Firstly, comparing the crania included angle; secondly, sampling the edge as the skull feature and analyzing the skull feature in multi-resolution; lastly, calculating the crania cavity area and regularizing the recognition rules. This method supports human identification in cases not only ante mortem but also postmortem.
