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Skull Sex Estimation Based on Wavelet Transform and Fourier Transform
Joint Authors
Yang, Wen
Liu, Xiaoning
Zhang, Pengfei
Zhang, Haibo
Zhou, Ming-Quan
Geng, Guohua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yang, Wen& Zhou, Ming-Quan& Zhang, Pengfei& Geng, Guohua& Liu, Xiaoning& Zhang, Haibo. 2020. Skull Sex Estimation Based on Wavelet Transform and Fourier Transform. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137558
Modern Language Association (MLA)
Yang, Wen…[et al.]. Skull Sex Estimation Based on Wavelet Transform and Fourier Transform. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1137558
American Medical Association (AMA)
Yang, Wen& Zhou, Ming-Quan& Zhang, Pengfei& Geng, Guohua& Liu, Xiaoning& Zhang, Haibo. Skull Sex Estimation Based on Wavelet Transform and Fourier Transform. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1137558