Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Document binarization is an active research area for many years. There are many difficulties associated with satisfactory binarization of document images and especially in cases o...
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
This paper presents a new approach to measure texture directions and estimate illumination tilt angle of 3D surface textures by using mojette transform. Feature vectors are genera...
In this paper we propose a novel fast fuzzy classifier able to find regular and low distorted near regular texture taking into account the constraints of video stabilization appli...
Arcangelo Bruna, Giovanni Puglisi, Sebastiano Batt...
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This m...
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Sweat pores have been recently employed for automated fingerprint recognition, in which the pores are usually extracted by using a computationally expensive skeletonization method...
Qijun Zhao, Lei Zhang, David Zhang, Nan Luo, Jing ...
Receiver Operating Characteristic (ROC) analysis enables fine-tuning of a trained classifier to a desired performance trade-off situation. ROC estimated from a finite test set is,...