Geometry and photometry in three-dimensional visual recognition
Geometry and photometry in three-dimensional visual recognition
Optimal Gabor filters for texture segmentation
IEEE Transactions on Image Processing
A sub-block-based eigenphases algorithm with optimum sub-block size
Knowledge-Based Systems
Hi-index | 0.00 |
This paper proposes a faces verification in which the feature extraction is carried out using the discrete Gabor function (DGF), while the Gaussian Mixture Model (GMM) is used in the face verification stage. Evaluation results using standard data bases with different parameters, such as the number of mixtures and the number of face used for training show that proposed system provides better results that other proposed systems with a correct verification rate larger than 95%. Although, as happens in must face recognition systems, the verification rate decreases when the target faces present some rotation degrees.