Facial image comparisons of morphed facial imagery
| dc.contributor.author | Heyer, R.L. | |
| dc.contributor.author | Chong, C. | |
| dc.contributor.author | Semmler, C. | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Facial image morphing is a technique whereby two or more faces are blended together to create a new face (the morph). Apps and open source software are now freely available to create morphs. While morph creation is predominantly for entertainment value, it is also a method being used to create facial imagery for use on fraudulent identity documents. This study sought to answer two questions. First, would participants accept a morph persona (an identity created using only morphed facial imagery) as a credible identity? Second, could participants match faces that had been used to create a morph (so-called constituent faces)? Results showed that morph personas were credible, being correctly matched more often than alternative images of real people. Further, results showed that propensity to declare a constituent face a match to its morph was dependent on the type of morph, with morphs made using two faces more likely to yield matches than those made using eight or 16 faces. A follow up similarity study on faces selected showed that even if a constituent face was selected it would more than likely have been ruled out as a match following a more thorough one-to-one comparison. | |
| dc.description.statementofresponsibility | Rebecca Heyer, Celine Chong and Carolyn Semmler | |
| dc.identifier.citation | Australian Journal of Forensic Sciences, 2019; 51(Suppl. 1):1-5-1-5 | |
| dc.identifier.doi | 10.1080/00450618.2019.1571106 | |
| dc.identifier.issn | 0045-0618 | |
| dc.identifier.issn | 1834-562X | |
| dc.identifier.orcid | Heyer, R.L. [0000-0002-1383-8705] | |
| dc.identifier.orcid | Semmler, C. [0000-0001-7912-293X] | |
| dc.identifier.uri | http://hdl.handle.net/2440/117951 | |
| dc.language.iso | en | |
| dc.publisher | Taylor & Francis | |
| dc.rights | © Crown Copyright in the Commonwealth of Australia 2019 Defence Science and Technology Group | |
| dc.source.uri | https://doi.org/10.1080/00450618.2019.1571106 | |
| dc.subject | Facial comparison; face matching; identity fraud; face morphs | |
| dc.title | Facial image comparisons of morphed facial imagery | |
| dc.type | Journal article | |
| pubs.publication-status | Published |