Pattern Recognition Letters

Constructing proper descriptors for interest points in images is a critical aspect for local features related tasks in computer vision and pattern recognition. Although the SIFT descriptor has been proven to perform better than the other existing local ...

In this paper, we propose a cancellable fingerprint template technique based on our previous work on multi-line code (MLC) (Wong et al., 2012). The modification and improvement focuses on the change of MLC values and the generation of binary MLC. In ...

In this paper, a new non-local active contour model is proposed for fast unsupervised segmentation of texture images. Under our framework, problems of texture description are addressed in a texture feature space. Then, the texture features are ...

Most colour descriptors are not robust because they are constructed for simple colour transformations, such as a diagonal-offset transformation. In this paper, a type of colour descriptor is proposed which is composed of rational expression of moments ...

In this paper we introduce a graph clustering method based on dense bipartite subgraph mining. The method applies a mixed graph model (both standard and bipartite) in a three-phase algorithm. First a seed mining method is applied to find seeds of ...

Manifold matching works to identify embeddings of multiple disparate data spaces into the same low-dimensional space, where joint inference can be pursued. It is an enabling methodology for fusion and inference from multiple and massive disparate data ...

Saliency detection has been gaining increasing attention in recent years since it could significantly boost many content-based multimedia applications. Most traditional approaches adopt the predefined local contrast, global contrast, or heuristic ...

Instance-based transfer is an important paradigm for transfer learning, where data from related tasks (source data) are combined with the data for the current learning task (target data) to train a learner for the current (target) task. However, in most ...

Nonlinear distortion, especially structure distortion, is one of the main reasons for the poor performance of shape contour classification. The structure fusion of multiple features provides a new solution for the structure distortion. How is this ...

Visual communication is important for a deft and/or mute person. It is also one of the tools for the communication between human and machines. In this paper, we develop an automatic Thai sign language translation system that is able to translate sign ...

In this article, we introduce a novel technique to remove binary artifacts. Given a gray-intensity image and its corresponding binary image, our method detects and remove connected components that are more likely to be background pixels. With this aim, ...

We present a comparison of speaker verification systems based on unsupervised and supervised mixtures of probabilistic linear discriminant analysis (PLDA) models. This paper explores current applicability of unsupervised mixtures of PLDA models with ...

Texture is a very important attribute in the field of computer vision. This work proposes a novel texture analysis method which is based on graph theory. Basically, we convert the pixels of an image into vertices of an undirected weighted graph and ...