Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
We present a novel real time 3D Automatic Target Recognition algorithm appropriate for LIDAR based time critical applications. Its main contribution is the Constant False Alarm Rate adaptive threshold combined with the Projection Density Energy and the transformation of the 3D problem into multiple 2Ds. Our approach is invariant to 3D rotations combined with scale change, Gaussian noise and uniform...
This work proposes a new method to identify non-technical losses in typical Electrical Power Distribution Systems (EPDS). Aiming to improve the efficiency of on-site inspection for fraudulent clients, the consumers are classified in suspects and non-suspects using the Optimum-Path Forest (OPF) classifier. The authors propose an improvement to this method using results of a Distribution State Estimator...
Handwritten digit strings and handwritten signature are used in various applications on a daily basis. Whether one signs a contract, work documents, petition, or wants to approve a cheque payment, one will use personal signature to do all those things. Similar is true for digits strings, where digit recognition is used in postal mail sorting, bank cheque processing, etc. In this paper we use this...
This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representation model combined with the Support Vector Machine classification and is integrated in a Microsoft SQL Server database.
In this work, a new training algorithm for probabilistic neural networks (PNN) is presented. The proposed algorithm addresses one of the major drawbacks of probabilistic neural networks, which is the size of the hidden layer in the network. By using a cross-validation training algorithm, the number of hidden neurons is shrunk to a smaller number consisting of the most representative samples of the...
The popularity of smart mobile devices with camera enabled results in a growing number of photos on the Internet. Those with semantic and geographic data can be used to enrich the data source of geographic information system, whereas, the widespread sources of these photos make them difficult to retrieve and utilize. We use a third-parr?" image search APIs to retrieve the images dynamically and...
In statistics, Canonical Correlation Analysis (CCA) is a kind of method to effectively analyze the correlation between two data. In recent years, some methods reported in literatures treated the action video sequences as the tensors, and calculated the similarity between two video sequences using CCA. Each of these tensors was unfolded into several matrices or vectors in the previous works. And estimated...
Vein recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In our framework, the minutiae features is extracted from the dorsal hand vein patterns for recognition, which include end points and the distance between the two end points as measured along the boundary of the image. In addition, the end-points-tree (EP-tree)...
Automatic classification of tropical wood species is becoming more important especially for timber exporting countries due to the considerable economic challenge as a result of fraudulent labelling of timber species at the custom checkpoints. Hence, a reliable automated wood species recognition system is needed to inspect the wood species labelling at the checkpoints. A tropical wood species classification...
This paper presents a novel palmprint recognition scheme which utilizes directional representation of Anisotropic Filters (AFs) optimally followed by Local Binary Pattern (LBP) called Optimal Local direction Binary patterns (OLdirBP). Optimal orientation image from different orientation can be excavated by opting orientation corresponding to maximum of summed value of convoluted responses between...
This paper presents an application of 3d-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an important aspect of archaeological research work. Up to now this is a time consuming, inaccurate, and subjective task which leads to tons of unclassified fragments in archives. Computer aided...
Local detail features of face are important bases for recognizing different persons. For its invariant to monotonic gray-scale transformations and it's a non-parametric kernel which summarizes the local special structure of an image, the Local Binary Pattern (LBP) has becoming a popular technique for face representation. In this paper, the LBP technique and its application for representing faces are...
We present a system that enables m-commerce interactions with billboards through augmented reality. A mobile application uploads image patterns to a recognition cloud, which asks a server to deliver mobile applications to the users, customized according to his/her device and location, and personalized according to his/her interests, preferences and needs.
This paper presents a multispectral palmprint recognition approach based on palm line orientation feature extracted with high order steerable filter. Gaussian function is used as isotropic window to design a high order steerable filter. The orientation features are selected as per dominant filter response for a particular orientation. Optimum values for parameters, i.e., standard deviation and number...
Highly unique pattern of the vein within the finger makes it robust biométrie characteristic which is instrumental in achieving low error rates for verification. Vascular pattern is reliable in many terms as they are characterized by very low error rates, good spoofing resistance and user convenience when compared with other existing biométrie modalities. In this paper, we present an extensive study...
This study presents a method for detecting an object by using several features. Features are extracted based on the statistical distribution of points on the bitmap image of the shape. It detect the shape of an image by using geometrical features and then select the clustered of image that matched that shape from a large database. In this approach the image of object are divided into zones and find...
Local Binary Pattern (LBP) has been widely used for analyzing local texture features of an image. Several new extensions of LBP based texture descriptors have been proposed, focusing on improving the robustness to noise by using different encoding or thresholding schemes where the most widely known are Median Binary Patterns (MBP), Fuzzy LBP (FLBP), Local Quantized Patterns (LQP), and Shift LBP (SLBP)...
The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as "covariates". This paper proposes a supervised feature selection method which is able to select relevant features for human recognition to mitigate the impact of covariates and hence improve the recognition performance. The proposed...
This paper proposes a supervised feature extraction method which is able to select discriminative features for human gait recognition under the variations of clothing and carrying conditions and hence to improve the recognition performances. The proposed method is based on the use of Haralick's texture features extracted locally from three regions of Gait Energy Images. The performance has been evaluated...
Intrinsically disorder regions (IDRs) or, proteins (IDPs) are associated with important biological functions, while lacking stable structure in their native state. The phenomena of disordered proteins or residues are abundant in nature and are extensively involved in critical human diseases and hence impacting drug discovery. Thus, the study using disorder prediction is becoming crucial in the proteomic...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.