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In this paper, a study is conducted on combining analytical and holistic strategies for handwriting recognition. Even though the big majority of the recent high recognition rate systems adopts analytical strategies, physiological scientists suggest that the holistic strategy is the key for realizing near-human performance. In what we believe is a fresh perspective on handwriting recognition, combining...
Biometrics are used for security purpose. It is used to recognize a person based on their unique characteristics. Among several biometrics, Fingerprint is the most widely used and acceptable biometrics. Biometric system has several advantages over traditional methods. But it can be affected by several attacks. The type 1 attack is performed at the sensor level. Differentiating a genuine biometric...
In this paper, we present an accelerated knowledge-driven content-based information mining system for Big Earth Observation data fusion. The tool combines, at pixel level, the unsupervised clustering results of different number of features. The features, extracted from different EO raster image types and from existing GIS vector maps, are combined, in form of a BoW, with a user given semantic concepts...
Autonomous vehicles must be capable of localizing even in GPS denied situations. In this paper, we propose a real-time method to localize a vehicle along a route using visual imagery or range information. Our approach is an implementation of topometric localization, which combines the robustness of topological localization with the geometric accuracy of metric methods. We construct a map by navigating...
Automatic personal identification using biometric information is playing a more and more important role in applications such as public security, access control, banking, etc. Palmprint identification is a subcategory of biometrics identification, which can efficiently used to identify the people. It is for this reason that palmprint-based identification is becoming increasingly popularity in recent...
Biometrics is emerging as the most foolproof method of automated personal identification. And fusing the scores of several biométrie systems is a very promising approach to improve the overall system's accuracy. Fusion operators, which contain sum rule, product rule, max rule and min rule, are considered to be one of the most useful schemes at score-level fusion, while the optimal fusion operator...
The amount of speaker specific information in speech signal varies from frame to frame depending on spoken text and environmental conditions. A frame selection at the preprocessing stage can be an added advantage in this context. In pre-quantization (PQ) we select a new sequence of frames Y from the original frames X such that length of Y is less than X. In this paper, we first analyze a number of...
This paper presents a novel approach for off-line text-independent Arabic writer identification. The approach operates in four steps: 1) handwritten text is segmented into strokes after an image thinning step; 2)length, height/width ratio and curvature stroke features are extracted; 3) five feature vectors are computed: stroke length/ratio probability distribution function (PDF), stroke length/ratio...
With the increased demand for English communication, various styles of learning support methods have been proposed and provided to the Japanese learners. However, there are still many learners finding it hard to read, write and speak in English. Regardless of language difference, understanding the other's intention and emotional status accurately and expressing what they think or feel to the others...
This paper presents a new method of capturing digital ink for pen-based computing. Current technologies such as tablets, ultrasonic and the Anoto pens rely on special mechanisms for locating the pen tip,which result in limiting the applicability.Our proposal is to ease this problem-a camera pen that allows us to write on ordinary paper for capturing digital ink. A document image retrieval method called...
We present promising results for visual object categorization, obtained with adaBoost using new original "keypoints-based features". These weak-classifiers produce a Boolean response based on presence or absence in the tested image of a "keypoint" (a kind of SURF interest point) with a descriptor sufficiently similar (i.e. within a given distance) to a reference descriptor characterizing...
This paper presents a novel method of car detection by using the Adaboost algorithm, which is enhanced by the quadratic programming for feature extraction. In this paper, car is divided into many relevant features through their appearances in training samples such as wheel and window. We crop features of object in training images and utilize them for the Adaboost training. The results of the Adaboost...
In recent years many approaches into Web-content development methods can be observed. In spite of many similarities in their description and formats; as in Dublin Core or LOM (learning object metadata), the characteristic features of these descriptors have not been strictly defined yet. What is more complexity of the available standards brings the user with difficulties to use them. The paper introduces...
This paper presents an approach to query term-related visual phrases extraction using mutual information for object-based news video retrieval. As visual words are useful for object representation, unstable visual words generally appear in the frame sequence of a shot. Using the appearance frequency of the visual words in a sliding window over the query term-related stories, the appearance pattern...
By integrating various development and collaboration tools into one single platform, the Jazz environment offers several opportunities for software repository miners. In particular, Jazz offers full traceability from the initial requirements via work packages and work assignments to the final changes and tests; all these features can be easily accessed and leveraged for better prediction and recommendation...
The contribution treats the topic of data transformation for classification of indications in the field of non-destructive defectoscopy by eddy-currents. Four algorithms for transformation of measured signal indications into suitable vectors of features will be presented. The contribution concentrates on the choice of coefficients from single or multiple vectors of features to define new data representation...
Content based copy detection is an alternative approach to invisible watermarking for tracking duplicate data. Primary stages are creating a database using the features belonging to the original data and searching query data in terms of its features in this database. Features must be robust against targeted attacks and discriminative enough to distinguish different content. In this work, we propose...
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved representations, or ldquomutual featuresrdquo, accounting for samples in the class. For example a mutual feature is a speaker signature under varying channel conditions or a face signature under varying illumination conditions...
In this paper, we present an approach, called FREQDIST, for speaker segmentation based on a distance measurement applied in the frequency domain. To enhance the detection performance, the spectrum is reweighted using normalization techniques. Additionally, noise-like (i.e. flat) spectra are removed based on the entropy. Experiments using the TIMIT database [1] and Westdeutscher Rundfunk broadcast...
In this paper, we investigate the fusion of several features extracted from manually-labelled silhouettes. A novel approach for human gait recognition based on the combination of three discriminative features, i.e., the area, the gravity centre, and the orientation of each body component, is also proposed. Experimental results show that the proposed method exhibits considerably better performance,...
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