Eigenbands fusion for frontal face recognition

Face recognition is an important area of research with many applications, including biometric security and searching face databases. This article describes an approach to recognize faces using eigenbands, which aim to capture the best features from facial characteristics. Faces are divided in vertical and horizontal bands. From each band is extracted features using standard-PCA. Results show that the standard-PCA applied over vertical band faces, using Bayes classifier, was more accurate than previous methods reported on the ORL face database.