Are you a super recogniser?

Super-recognisers have an above average ability to recognise faces. Typically this is classified as being in the top 1-2% on a selection of face recognition tests. We, at the University of Greenwich, are interested in finding people with this ability.

Below are our current selection of online tests.

Could you be a super recogniser?

This link will take you to a brief super-recogniser teaser test taken by more than 4 million people from around the world aged from 5 to 95


If you have any questions about the tests please contact

If you are going to take part in more than one test please use the same personal ID code for each test so that we can match up your results.


Dr Josh P Davis

Reader in Applied Psychology

 Applied Psychology Research Group, University of Greenwich, London, SE9 2UG



Dr Josh P Davis PhD, MSc, BSc, FHEA, MBPsS has been employed at the University of Greenwich since 2008. His PhD from the University of London was mainly conducted at London's Science Museum was on the “Forensic Identification of Unfamiliar Faces in CCTV Images” (2007). He has since published research on human face recognition and eyewitness identification, the reliability of facial composite systems (e.g., E-FIT, EFIT-V), and methods used by expert witnesses to provide evidence of identification in court (e.g., ‘facial comparison evidence: ‘face mapping’).

Since April 2011, much of his research has specifically focussed on so called ‘super-recognisers’. This research has led to changes in the management and distribution of CCTV images by the Metropolitan Police Service (MPS). In May 2014, he received funding from the European Commission as part of the LASIE consortium, with the primary aim of developing a test of superior face recognition to ensure the MPS can identify, and optimally deploy officers, staff and recruits possessing this ability. A secondary component is to advise on the human-computer LASIE system interface.

He has since advised other UK police forces on super-recognition, consulted with business (e.g., Yoti), and presented his research worldwide (e.g., Australia, Brazil, Canada, China, Russia, USA). He has featured in the international media and his first co-edited book “Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV” (Wiley Blackwell) was published in 2015 (Valentine & Davis, 2015) is available here.

Further Reading on Super Recognisers

  • A good introductary article on the topic is available here
  • A BBC article about our work with the Metropolitan Police is available here
  • A One Show (BBC1) interview with Michael Mosley is available here here
  • This Morning (ITV) interview on super-recognisers with Holly Willoughby and Philip Schofield here
  • For German visitors: "Super Recognizer": Die Spezialeinheit der Londoner Polizei | Galileo | ProSieben (German) here
  • For Dutch visitors: Face Recognition (man v machine): w super-recognisers NTR TV (Netherlands) here
  • New Statesman (2016). The super-recognisers of Scotland Yard. New Statesman, 2 August 2016 here
  • Guardian (2016). You look familiar: On patrol with the Met’s super-recognisers. The Guardian, 5 November 2016 here
  • New Yorker (2016). The detectives who never forget a face. The New Yorker, 22 August 2016 here
  • here

Academic Reading


Peer-reviewed journal articles


Davis, J.P., Lander, K., Evans, R., & Jansari, A. (2016). Investigating predictors of superior face recognition ability in police super-recognisers. Applied Cognitive Psychology, 30(6), 827–840. DOI: 10.1002/acp.3260

Davis, J.P., Thorniley, S., Gibson, S, & Solomon, C. (2016). Holistic facial composite construction and subsequent lineup identification accuracy: Comparing adults and children. Journal of Psychology: Interdisciplinary and Applied, 150(1), 102-118. doi: 10.1080/00223980.2015.1009867

Davis, J.P., Maigut, A.C., Jolliffe, D., Gibson, S, & Solomon, C. (2015). Holistic facial composite creation and subsequent video line-up eyewitness identification paradigm. Journal of Visualized Experiments, e53298. doi:10.3791/53298 

Davis, J.P., Simmons, S., Sulley, L., Solomon, C.J., & Gibson, S.J. (2015). An evaluation of post-production facial composite enhancement techniques. Journal of Forensic Practice, 17( 4), 1-12. DOI 10.1108/JFP-08-2015-0042

Davis, J.P., Valentine, T., Memon, A., & Roberts, A.J. (2015). Identification on the street: A field comparison of eyewitness identification methods. Psychology, Crime and Law, 1, 9-27.

Davis, J.P., Gibson, S, & Solomon, C. (2014). The positive influence of creating a holistic facial composite on video lineup identification. Applied Cognitive Psychology, 28, 634–639. DOI: 10.1002/acp.3045

Roberts, A.J., Davis, J.P. Valentine, T., & Memon, A. (2014). Should we worry about street identifications? Criminal Law Review, 9, 633-653.

Valentine, T., Davis, J.P., Memon, A., & Roberts, A. (2012). Showups and their influence on a subsequent video lineup. Applied Cognitive Psychology, 26(1), 1-23. DOI: 10.1002/acp.1796

Davis, J.P., Valentine, T., & Davis, R.E. (2010). Facial comparison of photographic images taken from full-face and profile viewpoints. Forensic Science International, 200, 165-176. DOI: 10.1016/j.forsciint.2010.04.012

Valentine, T., Davis, J.P., Thorner, K., Solomon, C., & Gibson, S. (2010). Evolving and combining facial composites: Between-witness and within-witness morphs compared. Journal of Experimental Psychology: Applied, 16(1), 72-86. DOI: 10.1037/a0018801.

Davis, J.P., & Valentine, T. (2009). CCTV on trial: Matching video images with the defendant in the dock. Applied Cognitive Psychology, 23, 482-505. DOI:10.1002/acp.1490


Book chapters and other articles


Valentine, T., & Davis, J.P. (2015). Forensic facial identification: A practical guide to best practice. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 323-347). Chichester: Wiley-Blackwell.

Davis, J.P., & ­Valentine, T. (2015). Human verification of identity from photographic images. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 211-238). Chichester: Wiley-Blackwell.

­Valentine, T., & Davis, J.P. (2015). Eyewitness identification and surveillance of facial images: progress and problems. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 3-14). Chichester: Wiley-Blackwell.

Edmond, G., Davis, J.P., & Valentine, T. (2015). Expert analysis: Facial image comparison. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 239-262). Chichester: Wiley-Blackwell.

Davis, J.P., Lander, K., & Jansari, A. (2013). I never forget a face. The Psychologist, 26(10), 726-729.

Davis, J.P. (2012). Image comparison, Facial, Photographic. In A. Jamiesson and A. Moenssens (Eds.), Wiley Encyclopaedia of Forensic Science. Wiley: UK. DOI: 10.1002/9780470061589.fsa1066

Davis, J.P., Valentine, T., & Wilkinson, C. (2012). Facial image comparison. In C. Wilkinson and C. Rynn (Eds.), Craniofacial Identification (pp. 136-153). Cambridge: Cambridge University Press.


Relevant links


University webpage:

Linked In

Research Gate: