A NOVEL COGNITIVE-PSYCHOLOGY-BASED FACE-RECOGNITION SYSTEM FOR IMPROVED IDENTIFICATION RATES FOR THE PROBLEM OF AGE-PROGRESSION

摘要

This paper discusses the novel application of an idea rooted in cognitive psychology to face recognition (FR). This cognitive-psychology method adapted for FR is evaluated against the difficult problem of age-progression. The age-progression problem occurs when enrolled images used by the FR algorithm are younger, typically more than one year in difference, than the test (probe) image. A model of a phenomenon in cognitive psychology known as "own-race bias" (ORB) is employed using Principle Components Analysis (PCA) as the face recognition engine. The ORB FR system has demonstrated performance gain of 200% over the baseline technique of Eigenfaces on the MORPH Album 2 face database. Where the baseline system Eigen face FR (which has been described in [1]) had a rank-based identification rate of 23%, the ORB-based FR achieved rates in the mid 50%.