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Handwriting has been known to be a very strong identifying characteristic of an individual and can be considered a behavioural biometric trait. This has made hand writer identification an important area of research. In this paper, a novel offline writer identification system is proposed using ensemble of multi-scale local ternary pattern histogram features. Features are extracted at multiple scales...
Eye detection is a primary step in many applications such as face recognition, iris recognition, driver fatigue detection, gaze tracking etc. Occlusion by spectacles, glare and secondary image formations deteriorate its performance. In this paper, we formulate the glare/reflection removal as a classification problem and employ Low rank decomposition technique to overcome these challenges. We provide...
Methods to cluster fingerprints based on Smallest-Enclosing-Circle (SEC) and to modify Weighted-K-Nearest-Neighbor (WKNN) matching algorithm for indoor fingerprint positioning system are proposed. Based on the approach to computing the smallest k-enclosing circle, the method proposed clusters fingerprints in database by introducing reference points' coordinates, instead of their received signal strength...
Target localization and tracking have the inseparable connection. On the one hand, localization is the basis of tracking. On the other hand, tracking can provide localization with prior information to correct the error of localization to some extent. At the same time, making the monitoring area be the grid area can let the localization and tracking system easy to be applied to different monitoring...
This paper has devoted to the estimating of the selling chance of houses in market. It is a clear that housing market is a very important for the financial stability. The database of our approach consist of the price of the houses and their quality indicators as the repair level, distance from the city centre, projects of the building, the place of the flat in a building and so on. In the base of...
At present time there are many enterprises that prefer to integrate out-of-the-box systems (with integration application) instead of developing new enterprise system special for them. Integration applications provide functionality to synchronize data between databases of out-of-the-box systems. However, there are problems during integration and we propose a method for these problems automatically...
This project for vocational skills certification examination in different professions, different types and different levels has developed vocational skills certification exam management system. Using Ant colony optimization (ACO) algorithm intelligently make skills identification papers has solved the multi-objective problem; so determine vocational skills certification examination test of the different...
With the rapid development of intelligent mobile devices, cell phone localization has become an important research problem. Fingerprinting based methods have been widely used to address this problem, in this paper, we propose a fingerprinting based method by using distance metric learning. We present the details of the method and show how to learn a Mahalanobis distance metric for localization. To...
The widely adopted i-vector performances well in text-independent speaker verification with long speech duration. How to integrate the state-of-the-art i-vector framework into the text-prompted speaker verification is addressed in this paper. To take advantage of the lexical information and enhance the performance for speaker verification with random digit sequences, this paper proposes to extract...
Voltage rise effect in distribution networks poses challenges when increasing amounts of Distributed Energy Re-sources(DERs) are connected to the network. The voltage rise at connection point is usually the limiting factor of the network's DER hosting capacity. Rapid development and deployment of PV generation has introduced the voltage rise problem to LV networks. This paper demonstrates functional...
This study was performed to evaluate the feasibility of short-time energy as an input vector features that will be used as a key of recognition in the voice biometric system to recognize the Cerebral Palsy (CP). To retrieve the characteristics of the voice, Mel-Frequencies Cepstral Coefficients (MFCC) was used as feature extraction algorithm, while Neuro Fuzzy was used as the classifier algorithm...
Applicability of the standard Maximum Likelihood Estimation technique for utilising parametric models to real World applications has been a real hurdle due to the difficult calculation of normalising constant since decades. The aim of this paper is therefore to fill some gape by demonstrating a simple Maximum Likelihood Estimation (MLE) technique for classification on Grassmann manifolds sing the...
This paper proposes a fuzzy interval valued multicriteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision...
Understanding signature complexity has been shown to be a crucial facet for both forensic and biometric appbcations. The signature complexity can be defined as the difficulty that forgers have when imitating the dynamics (constructional aspects) of other users signatures. Knowledge of complexity along with others facets such stability and signature length can lead to more robust and secure automatic...
Wood utility poles are central to many electrical distribution networks, yet there have been no published studies to determine what operational characteristics of utility poles are indicative of decay in the field. We apply survival analysis to a database of more than 17 000 utility poles in the Pacific Northwest, and find that larger circumference poles decay sooner, that Douglas fir poles...
Home Energy Management System (HEMS) comprises many types of sensors that collect a variety of data. In this study, a product recommendation system based on the user's indoor comfort preference, which is a function of HEMS, is proposed as a secondary use of HEMS data. The proposed system utilizes the user's indoor comfort preference based on data collected by HEMS sensors, and recommends items that...
Recent research has demonstrated the negative impact of pupil dilation on iris recognition performance. Apart from light intensity changes, several factors such as alcohol, drugs, age, disease and psychology, are known to affect the size of the pupil. This work (1) analyzes the impact of drugs on pupil dilation, (2) proposes the use of a biomechanical nonlinear iris normalization scheme along with...
Modern databases are crucial components of quality management systems according to the requirements of ISO 9001:2015, but their design and maintenance need significant resources. Despite the fact that modern databases are a key factor of management decision making, not all organizations can spend sufficient resources on their development what results in the necessity to find a model for database maintenance...
The success of SQL, NoSQL, and NewSQL databases is a reflection of their ability to provide significant functionality and performance benefits for specific domains, such as financial transactions, internet search, and data analysis. The BigDAWG polystore seeks to provide a mechanism to allow applications to transparently achieve the benefits of diverse databases while insulating applications from...
Head pose estimation has many applications in the field of computer vision and it is a useful part of pose-invariant face recognition. In this paper, we propose a novel method to estimate head pose (yaw and pitch rotations) based on fuzzy systems by facial geometric features. Firstly, seven certain points are selected on face. These points includes some main properties. They are all visible even for...
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