Effects of image preprocessing on face matching and recognition in human observers

This source preferred by Changhong Liu

This data was imported from Scopus:

Authors: Liu, C.H., Chen, W., Han, H. and Shan, S.

Journal: Applied Cognitive Psychology

Volume: 27

Issue: 6

Pages: 718-724

eISSN: 1099-0720

ISSN: 0888-4080

DOI: 10.1002/acp.2967

Summary: In person identification, recognition failure due to variations of illumination is common. In this study, we employed image-processing techniques to tackle this problem. Participants performed recognition and matching tasks where the face stimuli were either original images or computer-processed images in which shading was weakened via a number of image-processing techniques. The results show that whereas recognition accuracy in a memory task was unaffected, some of the techniques significantly improved the identification performance in a face-matching task. We conclude that relative to long-term face memory, face matching is more susceptible to discrepancy of shading in different images of a face. Reducing the discrepancy by certain preprocessing techniques can facilitate person identification when original face images contain large illumination differences. © 2013 John Wiley & Sons, Ltd.

The data on this page was last updated at 04:51 on July 17, 2018.