title: [Wavelet-based skull contour identification].
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.
authors.affiliation: Shaanxi Province Computer Graphics Key Lab, College of Computer, Northwestern Polytechnical University, Xi'an 710072, China.
authors.forename: Wenbin
authors.initials: W
authors.lastname: Zhao
authors.forename: Fuzeng
authors.initials: F
authors.lastname: Yang
authors.forename: Yanning
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D002508:Cephalometry / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D011859:Radiography; D012886:Skull / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*