Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis

• المؤلفون الرئيسيون: Janahiraman T.V., Omar J., Farukh H.N.
• مؤلفون آخرون: 35198314400
• التنسيق: Conference paper
• منشور في: 2023
• الموضوعات: Computer science; Cosine transforms; Discrete cosine transforms; Discriminant analysis; Feature extraction; Fisher information matrix; Learning algorithms; Nonlinear analysis; Complex data; Face images; Fisher linear discriminant analysis; High-dimensional; Input sample; Kernel fisher discriminant analysis; Linear algorithms; Nonlinear features; Nonlinear kernel functions; ORL database; Recognition accuracy; Sample space; Scatter matrix; Singularity problems; Small Sample Size; Training sets; Face recognition

In face recognition applications, the dimension of the sample space is usually larger than the number of the samples in a training set. As a result, Fisher Linear Discriminant Analysis (FLD) based methods suffers due to singularity problem (of scatter matrix). This situation is often referred as &qu...