Valid Signature Detection and Verification for Security of Individual Person

2016 ◽  
Vol 1 (1) ◽  
pp. 50-53 ◽  
Author(s):  
Varun Sharma ◽  
Narpat Singh
Keyword(s):  
Neural Network ◽  
Comparative Analysis ◽  
Recent Work ◽  
Research Work ◽  
Early Research ◽  
Individual Person ◽  
Signature Detection ◽  
Online Signature ◽  
The Right ◽  
Handwritten Signature

In the recent research work, the handwritten signature is a suitable field to detection of valid signature from different environment such online signature and offline signature. In early research work, a lot of unauthorized person put the signature and theft the data in illegal manner from organization or industries. So we have to need identify, the right person on the basis of various parameters that can be detected. In this paper, we have proposed two methods namely LDA and Neural Network for the offline signature from the scan signature image. For efficient research, we have focused the comparative analysis in terms of FRR, SSIM, MSE, and PSNR. These parameters are compared with the early work and the recent work. Our proposed work is more effective and provides the suitable result through our method which leads to existing work. Our method will help to find legal signature of authorized use for security and avoid illegal work.

The right to life: A comparative analysis of the relevant norms of the Constitutions of the Republic of Azerbaijan and Russian Federation

2020 ◽  
Vol 10 (1) ◽  
pp. 28-32
Keyword(s):  
Comparative Analysis ◽  
Death Penalty ◽  
Russian Federation ◽  
Practical Implementation ◽  
Right To Life ◽  
Human Right ◽  
The Russian Federation ◽  
The Republic ◽  
The Right ◽  
Criminal Legislation

The relevance of the work is determined by the fact that the right to life belongs to the basic constitutional human rights, therefore, its observance and protection is the duty of the state. Despite its undeniable importance, today the right to life anywhere in the world is not really ensured in sufficient quantities. The constitutional consolidation of the right to life raises a number of issues related to the concept, nature, legislative and practical implementation of this right. It should be noted that various aspects of the human right to life were considered in the scientific works of G.B. Romanovsky, O.G. Selikhova, T.M. Fomichenko, A.B. Borisova, V.A. Ershov and other Russian authors. The aim of the study is to study and comparative analysis of the legal content of the constitutional norm that defines the right to life, to comprehend and identify possible problems of the implementation of this right. To achieve this goal, this article discusses relevant issues of ensuring the right to life, proclaimed by Article 20 of the Constitution of the Russian Federation and Article 27 of the Constitution of Azerbaijan Republic. The results of a comparative analysis of these constitutional norms and the relevant norms of industry law allow us to determine, that there is no contradiction between Article 20 of the Constitution of the Russian Federation and the norms of the criminal legislation of the Russian Federation, which imply the death penalty as an exceptional measure of punishment, because a moratorium has been imposed on the death penalty in the Russian Federation since April 16, 1997. However, after the abolition of the death penalty in the criminal legislation of the Republic of Azerbaijan in 1998, there was a discrepancy between parts II and III of Article 27 of the Constitution of the Republic of Azerbaijan and the criminal legislation of Azerbaijan Republic that requires the introduction of the necessary changes in the content of the analyzed constitutional norm. The value of the work is determined by the fact that the introduction of appropriate changes will contribute to the further improvement of the Constitution of the Republic of Azerbaijan and the effective implementation of the right to life of everyone.

Chow Rings, Decomposition of the Diagonal, and the Topology of Families (AM-187)

2017 ◽  
Author(s):  
Claire Voisin
Keyword(s):  
Recent Work ◽  
Chow Groups ◽  
Ring Structure ◽  
Complete Intersections ◽  
Algebraic Varieties ◽  
Chow Ring ◽  
Hodge Structures ◽  
Chow Rings ◽  
Geometric Methods ◽  
The Right

This book provides an introduction to algebraic cycles on complex algebraic varieties, to the major conjectures relating them to cohomology, and even more precisely to Hodge structures on cohomology. The book is intended for both students and researchers, and not only presents a survey of the geometric methods developed in the last thirty years to understand the famous Bloch-Beilinson conjectures, but also examines recent work by the author. It focuses on two central objects: the diagonal of a variety—and the partial Bloch-Srinivas type decompositions it may have depending on the size of Chow groups—as well as its small diagonal, which is the right object to consider in order to understand the ring structure on Chow groups and cohomology. An exploration of a sampling of recent works by the author looks at the relation, conjectured in general by Bloch and Beilinson, between the coniveau of general complete intersections and their Chow groups and a very particular property satisfied by the Chow ring of K3 surfaces and conjecturally by hyper-Kähler manifolds. In particular, the book delves into arguments originating in Nori's work that have been further developed by others.

scholarly journals Image Restoration by Learning Morphological Opening-Closing Network

2020 ◽  
Vol 4 (1) ◽  
pp. 87-107
Author(s):  
Ranjan Mondal ◽  
Moni Shankar Dey ◽  
Bhabatosh Chanda
Keyword(s):  
Neural Network ◽  
Image Restoration ◽  
State Of The Art ◽  
Source Code ◽  
Back Propagation ◽  
Image Features ◽  
Main Difficulty ◽  
The Right ◽  
Right Order ◽  
Morphological Opening

AbstractMathematical morphology is a powerful tool for image processing tasks. The main difficulty in designing mathematical morphological algorithm is deciding the order of operators/filters and the corresponding structuring elements (SEs). In this work, we develop morphological network composed of alternate sequences of dilation and erosion layers, which depending on learned SEs, may form opening or closing layers. These layers in the right order along with linear combination (of their outputs) are useful in extracting image features and processing them. Structuring elements in the network are learned by back-propagation method guided by minimization of the loss function. Efficacy of the proposed network is established by applying it to two interesting image restoration problems, namely de-raining and de-hazing. Results are comparable to that of many state-of-the-art algorithms for most of the images. It is also worth mentioning that the number of network parameters to handle is much less than that of popular convolutional neural network for similar tasks. The source code can be found here https://github.com/ranjanZ/Mophological-Opening-Closing-Net

scholarly journals XIII. Letter from Captain Nepean, to the Right Hon. the Earl of Aberdeen, K.T., President, communicating an account of certain Antiquities excavated, under his direction, in the Island of Sacrificios: followed by a Report upon the examination of them, by Samuel Birch, Esq.

Archaeologia ◽  
1844 ◽  
Vol 30 ◽  
pp. 138-143
Author(s):  
Evan Nepean
Keyword(s):  
Central America ◽  
Recent Work ◽  
Musical Instruments ◽  
The Public ◽  
The Right

The public curiosity has been much roused by Stevens's recent work on Central America, as well as by the late visit of Mr. Walker and Captain Caddy of the Artillery, to Palenque, and other ancient cities in that quarter.I have the honour to acquaint your Lordship, as President of the Society of Antiquaries, that, having been lately on service in the gulph of Mexico, whilst laying off the island of Sacrificios, I caused several excavations to be made there, and succeeded in digging up various articles of pottery, idols, and musical instruments; amongst other specimens, are three or four types, or signets, with hieroglyphics, which may perhaps throw some light on the origin of the Mexicans, or the still more ancient race that preceded them.

Prediction of sports attendance: A comparative analysis

2020 ◽  
pp. 175433712098313
Author(s):  
Mehmet Şahin ◽  
Murat Uçar
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Comparative Analysis ◽  
National Football League ◽  
Relevant Literature ◽  
Performance Evaluations ◽  
Influential Factor ◽  
Gradient Boosting ◽  
Home Team ◽  
Machine Learning Methods

In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major leagues, namely the National Basketball Association (NBA), National Football League (NFL), and Major League Baseball (MLB), were used for training and testing the approaches. The relevant literature was examined to determine the most useful variables as potential regressors in forecasting. To reveal the most effective approach, three scenarios containing seven cases were constructed. In the first scenario, each league was evaluated separately. In the second scenario, the three possible combinations of league pairings were evaluated, while in the third scenario, all three leagues were evaluated together. The performance evaluations of the results suggest that one of the machine learning methods, Gradient Boosting, outperformed the other methods used. However, the Artificial Neural Network, deep Convolutional Neural Network, and Decision Trees also provided productive and competitive predictions for sports games. Based on the results, the predictions for the NBA and NFL leagues are more satisfactory than the predictions of the MLB, which may be caused by the structure of the MLB. The results of the sensitivity analysis indicate that the performance of the home team is the most influential factor for all three leagues.

scholarly journals Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks

2020 ◽  
pp. 002029402096482
Author(s):  
Sulaiman Khan ◽  
Abdul Hafeez ◽  
Hazrat Ali ◽  
Shah Nazir ◽  
Anwar Hussain
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Research Work ◽  
Recognition Rate ◽  
Recognition Task ◽  
Convolution Neural Network ◽  
Medium Size ◽  
Support Vector ◽  
Artificial Neural

This paper presents an efficient OCR system for the recognition of offline Pashto isolated characters. The lack of an appropriate dataset makes it challenging to match against a reference and perform recognition. This research work addresses this problem by developing a medium-size database that comprises 4488 samples of handwritten Pashto character; that can be further used for experimental purposes. In the proposed OCR system the recognition task is performed using convolution neural network. The performance analysis of the proposed OCR system is validated by comparing its results with artificial neural network and support vector machine based on zoning feature extraction technique. The results of the proposed experiments shows an accuracy of 56% for the support vector machine, 78% for artificial neural network, and 80.7% for the proposed OCR system. The high recognition rate shows that the OCR system based on convolution neural network performs best among the used techniques.

scholarly journals Online signature verification using neural network and pearson correlation features

2013 ◽  
Author(s):  
Vahab Iranmanesh ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Wan Azizun Wan Adnan ◽  
Fahad Layth Malallah ◽  
Salman Yussof
Keyword(s):  
Neural Network ◽  
Pearson Correlation ◽  
Signature Verification ◽  
Online Signature ◽  
Online Signature Verification
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