prikaz prve stranice dokumenta Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations
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Scientific paper - Original scientific paper
Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations
ST-OPEN, 1 (2020); 1-11. https://doi.org/10.48188/so.1.4
Kolić, Andrea; Jerković, Ivan; Anđelinović, Šimun

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Kolić, A., Jerković, I. & Anđelinović, Š. (2020). Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations. ST-OPEN, 1., 1-11. doi: 10.48188/so.1.4

Kolić, Andrea, et al. "Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations." ST-OPEN, vol. 1, 2020, pp. 1-11. https://doi.org/10.48188/so.1.4

Kolić, Andrea, Ivan Jerković and Šimun Anđelinović. "Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations." ST-OPEN 1 (2020): 1-11. https://doi.org/10.48188/so.1.4

Kolić, A., Jerković, I. and Anđelinović, Š. (2020) 'Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations', ST-OPEN, 1, pp. 1-11. doi: 10.48188/so.1.4

Kolić A, Jerković I, Anđelinović Š. Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations. ST-OPEN [Internet]. 2020 [cited 2024 August 28];1:1-11. doi: 10.48188/so.1.4

A. Kolić, I. Jerković and Š. Anđelinović, "Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations", ST-OPEN, vol. 1, pp. 1-11, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:227:491157. [Accessed: 28 August 2024]

Metadata
Title (english)Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations
AuthorAndrea Kolić
AuthorIvan Jerković
AuthorŠimun Anđelinović
Author's institutionUniversity of Split
University Department of Forensic Sciences
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Security and Defense Science
Abstract (english)
Aim: To test if handprint measurements show sexual dimorphism in the Croatian population, and to develop population-specific sex estimation standards. Methods: A cross-sectional study was conducted on 100 adult volunteers from a Croatian population (50 males and 50 females) aged between 20 and 45 years. Using a fingerprint ink, we collected handprints of both hands on a paper sheet. We scanned handprints and took 13 measurements. Bilateral asymmetry and sexual dimorphism of the measurements was analyzed and sex estimation models were developed using linear discriminant analysis. Results: All measurements exhibited statistically significant sexual dimorphism (P<0.001). Univariate discriminant functions provided sexing accuracy from 75% to 92%. The highest accuracy rate (92%) and the lowest sexing bias (0%) was obtained using the handprint breadth. A multivariate discriminant function could estimate sex with 93% accuracy, but with more pronounced sexing bias (10%). Conclusion: We showed that handprint measurements could be used for sex estimation in the Croatian population with a high accuracy level. Therefore, they could serve as a valuable tool for biological profiling of perpetrators in criminal investigations when other evidence is not conclusive.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleST-OPEN
Numberingvol. 1, pp. 1-11
e-ISSN2718-3734
DOIhttps://doi.org/10.48188/so.1.4
URN:NBNurn:nbn:hr:227:491157
Publication2020
Document URLhttps://hrcak.srce.hr/244499
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-06-10 12:34:11