Evidence on Skill Differences of Women and Men Concerning Face Recognition

  • Josef Bigun
  • Kwok-wai Choy
  • Henrik Olsson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2091)


We present a cognitive study regarding face recognition skills of women and men. The results reveal that there are in the average sizable skill differences between women and men in human face recognition. The women had higher correct answer frequencies then men in all face recognition questions they answered. In difficult questions, those which had fewer correct answers than other questions, the performance of the best skilled women were remarkably higher than the best skilled men. The lack of caricature type information (high spatial frequencies) hampers the recognition task significantly more than the lack ofsi lhouette and shading (low spatial frequencies) information, according to our findings. Furthermore, the results confirmed the previous findings that hair style and facial expressions degrades the face recognition performance of humans significantly. The reported results concern 1838 individuals and the study was effectuated by means of Internet.


Correct Answer Face Recognition Test Object High Spatial Frequency Hair Style 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A.J. Bruce and K.W. Beard. African Americans, and Caucasian Americans recognition and likability responses to African American and Caucasian American faces. Journal of General Psychology, 124:143–156, Apr 1997.CrossRefGoogle Scholar
  2. 2.
    V. Bruce and A. Young. Understanding face recognition. British Journal of Psychology, 77:305–327, 1986.Google Scholar
  3. 3.
    V. Bruce and A. Young. In the eye of the beholder. Oxford University Press, Oxford, 1998.Google Scholar
  4. 4.
    P. Burt. Fast filter transforms for image processing. Computer graphics and image processing, 16:20–51, 1981.CrossRefGoogle Scholar
  5. 5.
    H.D. Ellis, D.M. Ellis, and J.A. Hosie. Priming effects in childrens face recognition. British Journal of Psychology, 84:101–110, 1993.Google Scholar
  6. 6.
    H.W. Faw. Recognition of unfamiliar faces: Procedural and methodological considerations. British Journal of Psychology, 83:25–37, 1992.Google Scholar
  7. 7.
    L. Hassing, A. Wahling, and L. Backman. Minimal influence of age, education, and gender on episodic memory functioning in very old age: a population-based study ofn onagenarians. Archives of Gerontology and Geriatrics, 27:75–87, 1998.CrossRefGoogle Scholar
  8. 8.
    S. Pigeon and L. Vandendorpe. The M2VTS multi modal face database (release 1.0). In J. Bigun, G. Chollet, and G. Borgefors, editors, Audio and Video based Person Authentication-AVBPA97, pages 403–409. Springer, 1997.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Josef Bigun
    • 1
  • Kwok-wai Choy
    • 1
  • Henrik Olsson
    • 1
  1. 1.Halmstad UniversityHalmstadSweden

Personalised recommendations