The effect of normal adult aging on standard PCA face recognition accuracy rates
Karl Ricanek, Elizabeth Hill Boone · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · 2006
The issue of face aging has not been explicitly focused upon in the research on face recognition (FR) systems. What has been introduced by a few researchers is the impact of a probe against a match of different acquisition dates; the time span between probe and match image acquisition has not historically been sufficiently large enough to fully explore the impacts of age-progression on performance rates. In this work, we address the impacts of age-progression, which includes both structural and texture changes, on the standard PCA FR algorithm. A face database designed specifically to address the issues of age-progression is used with the FERET database. This work examines why the PCA FR system, and possibly other appearance based FR systems, is diminished recognition rates.