The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Eye detector and eye tracker have been individually used to solve the task of eye localization in video. Although the eye detection based approach seems to be robust especially in frontal view faces and opened eyes, its performance drops dramatically in the presence of large head pose change and closed eyes. Meanwhile, eye tracking based approaches can estimate closed eyes and eyes in extreme head...
In this article, we present a novel set of features for detection of text in images of natural scenes using a multi-layer perceptron (MLP) classifier. An estimate of the uniformity in stroke thickness is one of our features and we obtain the same using only a subset of the distance transform values of the concerned region. Estimation of the uniformity in stroke thickness on the basis of sparse sampling...
In this paper, we propose a novel method for extracting a set of baseline-independent features, which are based on the combination of global and local information. A HMM-based recognition system is developed with 161 models that include a space model and a blank model. All of the models are trained using the standard Baum-Welch Algorithm with the state-tying technique, and are then decoded using the...
Recently a collaborative representation (CR) based classification with regularized least squares (CRC-RLS) has been proposed for the classification of faces. CRC-RLS is a simple yet fast alternative to sparse representation (SR) based classification (SRC). While SR is the solution to an l1-regularized least square decomposition, CR starts from an l2-regularized least square formulation. In this paper...
This paper presents a spectral correspondence method for fingerprint matching. Minutia matching is formulated as recovering the dense sub-block in the corresponding matrix. And then the spectral correspondence method is used for searching the dense sub-block. First, we propose the pairwise adjacency matrix (PAM), whose diagonal elements represent similarities of minutia structures and other elements...
This paper proposes a corner and skeleton based method for arbitrarily oriented text detection. By calculating the minimum moment of inertia of each candidate text region, we firstly obtain the orientation and minimum bounding box of each connected component. Secondly, based on the fact that corners are frequent and essential patterns in text regions, we propose a geodesic distance between corner...
A novel extension for color images of the local phase quantization (LPQ) local descriptor is presented. The descriptor is obtained by using a multivector representation of color values in order to derive blur-robust features in frequency domain. We tested the proposed descriptor in texture classification problems, and quantified its robustness for several amounts of blur. The experiments show that...
Local Binary Patterns (LBPs) and Covariance Matrices (CovMs) are two popular kinds of texture descriptors. However, local correlation brought by LBPs and global correlation brought by CovMs could not be directly combined to achieve enhanced discriminative power. This paper develops a powerful descriptor, named COV-LBP. Firstly, we propose a variant of LBPs on Euclidean space, named the LBP Difference...
During the last two decades, a series of subspace methods have succeeded in achieving a satisfactory performance for face recognition tasks, but have always failed when partial occlusions occur. This paper combines the subspace techniques with probabilistic models, and aims at achieving invariance to occlusions. The concept underlying the proposed method is that two faces with the same identity, even...
Ordinal measures are robust image descriptors for encoding discriminative features of iris images. However, there are many tunable parameters in ordinal filters which can generate an over-complete feature pool. This paper proposes a novel feature selection method based on linear programming, which can learn a compact and effective ordinal feature set for iris recognition. Firstly, large margin principle...
In this paper, we propose an accelerated robust sparse coding (ARSC) method which is based on the combination of linear-regression based classification and robust sparse coding for fast face recognition. First, linear-regression based classification (LRC) is used to select the candidate face set, which can effectively reduce the search scope. Then, robust sparse coding (RSC) is applied to perform...
Recently, various approaches to facial expression recognition have been proposed, but they do not provide a powerful approach to recognize expressions from Partially Occluded Facial Images. Moreover, they usually are global and the importance of different areas in facial images is considered equally. In this paper, we propose a novel facial expression recognition approach based on locally weighted...
We proposed in this paper a novel weighted longest increasing subsequence to improve the performance of the appearance-based object recognition. The LIS is employed to find the true keypoint matches that have consistent geometric order in both query and gallery images. Then, the similarity between query and gallery images is measured by the sum of the weights of the true keypoints. The experimental...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.