In this paper a new technique Directional 2DPCA is developed. Face image was firstly rotated to several directional, the directional 2DPCA that can extract features from the matrixes in any direction. In 2DPCA reflects the information in each row but it cannot be uncovered the structural information so in this paper features can extract in any direction. Features were extracted from original fa...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linear data. Both for directional and linear data a theory for a statistical modeling exists. However, none of these theories gives an integrated solution to problems, where linear and directional variables are to be combin...

This paper evaluates the performance of edge-based directional probability distributions as features in writer identification in comparison to a number of non-angular features. It is noted that the joint probability distribution of the angle combination of two ”hinged” edge fragments outperforms all other individual features. Combining features may improve the performance. Limitations of the me...

This paper is the second in a series studying procedures for estimating and calibrating features of nematodes from digital images. Two kinds of features were analyzed for recognition: those with a directional component and those with a textural component. Features that have a directional component (lateral field and annules) were preprocessed with classic algorithms and modified by directional ...

In this paper a new technique Directional 2DPCA is used for facial recognition. Facial image firstly rotated in different angle, the directional 2DPCA that can extract features from the matrixes in any direction. In 2DPCA given the information in each row, but it cannot be uncovered the structural information. Facial features can be extracted applying any angel. Features were extracted from ori...