Face Recognition by Linear Discriminant Analysis

Provided by: Interscience Open Access Journals
Topic: Security
Format: PDF
Linear Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low dimensional space by maximizing the between class scatter and minimizing the within-class scatter. LDA allows objective evaluation of the significance of visual information in different features of the face for identifying the human face. The LDA also provides the users' with a small set of features that carry the most relevant information for classification purposes. LDA method overcomes the limitation of Principle Component Analysis (PCA) method by applying the linear discriminant criterion.

Find By Topic