A Comparison of Individual and Morphed Facial Composites Created Using Different Systems

Davis, Josh P. and Sulley, Lucy and Solomon, Christopher J. and Gibson, Stuart J. (2010) A Comparison of Individual and Morphed Facial Composites Created Using Different Systems. In: 2010 International Conference on Emerging Security Technologies (EST). EST '10. IEEE Computer Society, Washington, DC, USA pp. 56-60. ISBN 978-1-4244-7845-3. (doi:https://doi.org/10.1109/EST.2010.29) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/EST.2010.29

Abstract

An evaluation of individual and morphed composites created using the E-FIT and EFIT-V production systems was conducted. With the assistance of trained police staff, composites of unfamiliar targets were constructed from memory following a Cognitive Interview. EFIT-V composite production followed either a two-day delay, or on the same day as viewing a video of the target. E-FIT composites were created on the same day as viewing the target video. Morphs were produced from merging either two, or three composites created by the same witness, but with the assistance of a different operator. Participants familiar with the targets supplied similarity-to-target photograph ratings. No differences were found in the rated quality of composites created using E-FIT or EFIT-V, although a two-day delay in production resulted in inferior images. Morphs were rated as better likenesses than individual composites, although the benefits were greater with EFIT-Vs. Encouraging witnesses to create more than one composite image for subsequent morphing might enhance the likelihood of recognition of facial composites of criminals.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Facial composites, Face recognition, Identification
Subjects: Q Science
Divisions: Faculties > Sciences > School of Physical Sciences
Depositing User: Stuart Gibson
Date Deposited: 25 Oct 2013 13:04 UTC
Last Modified: 16 May 2014 15:36 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35642 (The current URI for this page, for reference purposes)
  • Depositors only (login required):