Sex estimation from biometric face photos for forensic purposes

被引:3
|
作者
Sezgin, Nurdan [1 ]
Karadayi, Beytullah [2 ]
机构
[1] Kutahya Hlth Sci Univ, Dept Forens Sci, Fac Engn & Nat Sci, Tavsanli Rd 10 Km, TR-43100 Merkez, Kutahya, Turkey
[2] Istanbul Univ Cerrahpasa, Dept Forens Med, Cerrahpasa Med Fac, Istanbul, Turkey
关键词
sex estimation; biometric photograph; discriminant analysis; anthropometric measurements; GENDER; DISCRIMINATION; DIMORPHISM; MANDIBLES; TRAITS;
D O I
10.1177/00258024221100898
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Sex estimation is an important parameter in cases where individuals need to be identified in forensic cases. Biometric photographs are a form of a passport photo with specific dimensions and features established by the International Civil Aviation Organization, which are read and digitally stored in appropriate devices, are used in travel documents, and are of high quality (at least 600 dpi). This study aims to reveal anthropometric data for estimating sex in Turkish adult population from facial images conforming to biometric photography criteria. Within the scope of this study, biometric facial images of a total of 334 participants, 146 female and 188 male, between the ages of 20 and 79 were used. The photos were taken using a Nikon D5100 and flat front lighting from a distance of 1 m. ImageJ 1.50i software was used to process these images. Statistical analysis was performed using descriptive statistics and discriminant analysis tests. Among the 11 variables on sex estimation, the highest accuracy rate of 78.1% was obtained with the measurement between Gonion points. However, sex estimation could be made with an accuracy of 80.5% by including all age groups and all variables, and when age-specific data were used, it was observed that these accuracy rates increased significantly in all three age groups (84.6%, 89.2%, 85.2%, respectively). Therefore, we are suggesting that using age-specific data generated for estimation in different age groups. Consequently, it has been shown that successful sex estimation can be done by formulas derived from biometric facial images in this study.
引用
收藏
页码:105 / 113
页数:9
相关论文
共 50 条
  • [41] Forensic sex estimation using the vertebrae: an evaluation on two European populations
    Garoufi, Nefeli
    Bertsatos, Andreas
    Chovalopoulou, Maria-Eleni
    Villa, Chiara
    [J]. INTERNATIONAL JOURNAL OF LEGAL MEDICINE, 2020, 134 (06) : 2307 - 2318
  • [43] Comments to Focardi et al., Age estimation for forensic purposes in Italy: ethical issues
    Ernst Rudolf
    [J]. International Journal of Legal Medicine, 2015, 129 : 1271 - 1273
  • [44] Extraction and analysis of ricinine from crude ricin preparations for forensic purposes
    Colburn, Heather A.
    Victry, Kristin D.
    Wunschel, David S.
    Wahl, Karen L.
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 242
  • [45] Automatic estimation of individual tree positions from aerial photos
    Dralle, K
    Rudemo, M
    [J]. CANADIAN JOURNAL OF FOREST RESEARCH, 1997, 27 (11) : 1728 - 1736
  • [46] Automatic forensic face recognition from digital images
    Peacock, C
    Goode, A
    Brett, A
    [J]. SCIENCE & JUSTICE, 2004, 44 (01) : 29 - 34
  • [47] Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications
    Chaves, Deisy
    Fidalgo, Eduardo
    Alegre, Enrique
    Alaiz-Rodriguez, Rocio
    Janez-Martino, Francisco
    Azzopardi, George
    [J]. SENSORS, 2020, 20 (16) : 1 - 21
  • [48] FROM BIOMETRIC TO FORENSIC HASHING: CHALLENGES IN DIGITAL CRIME SCENE TRACE ANALYSIS
    Vielhauer, Claus
    Dittmann, Jana
    [J]. 2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2015, : 764 - 768
  • [49] APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs
    Yi, Ran
    Liu, Yong-Jin
    Lai, Yu-Kun
    Rosin, Paul L.
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 10735 - 10744
  • [50] A method of creating 3-D face images from 2-D photos for face recognition
    Guan, Xin
    Zhuang, Hanqi
    [J]. INTERNATIONAL JOURNAL OF BIOMETRICS, 2011, 3 (01) : 40 - 55