Title Skull Sex Estimation Based on Wavelet Transform and Fourier Transform
Authors Yang, Wen
Zhou, Mingquan
Zhang, Pengfei
Geng, Guohua
Liu, Xiaoning
Zhang, Haibo
Affiliation Northwest Univ, Coll Informat Sci & Technol, Xian, Peoples R China
Beijing Normal Univ, Coll Informat Sci & Technol, Beijing, Peoples R China
Keywords DISCRIMINANT FUNCTION-ANALYSIS
DIMORPHISM
TRAITS
AGE
Issue Date 11-Jan-2020
Publisher BIOMED RESEARCH INTERNATIONAL
Abstract Skull sex estimation is one of the hot research topics in forensic anthropology, and has important research value in the fields of criminal investigation, archeology, anthropology, and so on. Sex estimation of skull is crucial in forensic investigations, whether in legal situations that involve living people or to identify mortal remains. The aim of this study is to establish a skull-based sex estimation model in Chinese population, providing a scientific reference for the practical application of forensic medicine and anthropology. We take the superior orbital margin and frontal bone of the skull as the research object and proposed a technology of objective sex estimation of the skull using wavelet transform and Fourier transform. Firstly, the supraorbital margin and frontal bone were quantified by wavelet transform and Fourier transform, and then the extracted features were classified by SVM, and the model was tested. The experimental results show that the accuracy rate of male and female sex discrimination is 90.9% and 94.4%, respectively, which is higher than that of morphological and measurement methods. Compared with the traditional methods, the method has more theoretical basis and objectivity, and the correct rate is higher.
URI http://hdl.handle.net/20.500.11897/585424
ISSN 2314-6133
DOI 10.1155/2020/8608209
Indexed SCI(E)
SSCI
Appears in Collections: 待认领

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