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Various statistical methods such as co-occurrence matrix, local binary patterns and spectral approaches such as Gabor filters have been used for generating global features for image classification. However, global image features fail to distinguish between local variations within an image. Bag-of-visual-words (BoVW) model do capture local variations in an image, but typically do not consider spatial...
In this paper, new techniques have been introduced for revealing the individual features of a person's handwriting pattern to facilitate text-independent off-line writer identification. These techniques are aimed at designing a dynamic model which can be formalized according to any handwritten text line. Various combinations of the extracted features are applied to three well known classifiers for...
Face recognition is one of the most important tasks in computer vision and Biometrics. Texture is an important spatial feature useful for identifying objects or regions of interest in an image. Texture based face recognition is widely used in many applications. LBP method is most successful for face recognition. It is based on characterizing the local image texture by local texture patterns. In this...
Computer Aided Diagnosis (CAD) system provides medical assistance by scanning digital images from computer tomography (CT) for suspicious masses and highlights the noticeable segments like presence of tumours, neural blockage etc. This paper, presents a scheme to improve the efficiency of existing CAD systems by proposing a feature extraction model which is carried out in two phases. First phase carries...
The lip-region can be interpreted as either a genetic or behavioural biometric trait depending on whether static or dynamic information is used. In this paper, we use a texture descriptor called Local Ordinal Contrast Pattern (LOCP) in conjunction with a novel spatiotemporal sampling method called Windowed Three Orthogonal Planes (WTOP) to represent both appearance and dynamics features observed in...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
Handwritten recognition is a very active research domain that led to several works in the literature for the Latin Writing. The current systems tendency is oriented toward the classifiers combination and the integration of multiple information sources. In this paper, we describe an approach based on diversity measures for Arabic handwritten recognition using optimized Multiple classifier system. The...
In this paper we present the detailed calculations which a geolocation database would need to perform in order to derive location-specific maximum permitted emission levels for white space devices (WSDs) operating in digital terrestrial TV (DTT) bands. We introduce a novel methodology for the calculation of such emission levels, whereby the extent of protection afforded to the DTT service is specified...
A new method for scale-aware saliency detection is introduced in this work. Scale determination is realized through a fast scale-space algorithm using color and texture. Scale information is fed back to a Discriminant Saliency engine by automatically tuning center-surround parameters. Excellent results are demonstrated for predicted fixations using a public database of measured human fixations. Further...
From a rectified stereo image pair, the task of view synthesis is to generate images from any viewpoint along the baseline. The main difficulty of the problem is how to fill occluded regions. In this paper, we present a new method for view synthesis that is both fast and accurate. Occlusions are filled using color and disparity information to produce consistent pixel estimates. Results are comparable...
Recently, several papers have proposed pseudo dynamic methods for automatic handwritten signature verification. Each of these papers uses texture measures of the gray level signature strokes. This paper explores the usefulness of local binary pattern (LBP) and local directional pattern (LDP) texture measures to discriminate off-line signatures. A comparison between several texture normalizations is...
We propose a data-driven, multi-view body pose estimation algorithm for video. It can operate in uncontrolled environments with loosely calibrated and low resolution cameras and without restricting assumptions on the family of possible poses or motions. Our algorithm first estimates a rough pose estimation using a spatial and temporal silhouette based search in a database of known poses. The estimated...
High-resolution satellite imagery is being increasingly employed for large-scale topographic mapping, and especially for updating spatial databases. GeoEye-1 is one of the latest in a series of commercial high-resolution earth observation satellites. The paper presents a method for building detection from GeoEye-1 imagery. The initial building mask was created with supervised classification based...
This study proposes an automatic image processing procedure in order to facilitate regular updating of the land-use map of Puerto Rico, which is a key dataset for the Xplorah Planning Support Systems. The procedure is based on the contextual reclassification of digital high resolution aerial photographs that were preclassified using a decision tree classifier. For the contextual reclassification the...
This paper presents a method for image retrieval using genetic algorithm and bags of pixel. This technique makes it possible to select important parts of image for retrieval. Closed space of pixels takes advantage of automatic conformity approximation and indicates the increase of meaningful linear variations such as morphing and transitions. Selecting bags of pixels and PCA, we can retrieve images...
This paper comes within the framework of designing a recognition system of mathematical symbols. Through this, we first recall the general process of recognition of mathematical symbols while focusing on the description of our method for segmentation of offline mathematical symbols. Our goal is to detect, extract and segment the different symbols of mathematical expression. This expression will be...
India is a multilingual and multi-script country where a line of a bilingual document page may contain text words both in regional language and in English. Recognition of documents containing multi-scripts is really a challenging task, which needs more effort of the OCR designers for improving the accuracy rate. This paper presents a Bilingual OCR system for printed Malayalam and English text. Here...
This paper proposes two systems for offline signature verification based on a global and on a local approach respectively. The features used consist of different kinds of geometrical, statistical and structural features. For comparison purposes, we used two baseline systems (global and local), both based on a larger number of features encoding the orientations of the strokes using mathematical morphology...
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