Offline Handwritten Signature Verification Using Radial Basis Function Neural Networks
Author :
Publisher : George Azzopardi
Page : 122 pages
File Size : 48,82 MB
Release :
Category :
ISBN :
Author :
Publisher : George Azzopardi
Page : 122 pages
File Size : 48,82 MB
Release :
Category :
ISBN :
Author : Joaquim Filipe
Publisher : Springer
Page : 614 pages
File Size : 19,30 MB
Release : 2011-03-14
Category : Business & Economics
ISBN : 3642198023
This book contains substantially extended and revised versions of the best papers from the 12th International Conference on Enterprise Information Systems (ICEIS 2010), held in Funchal, Madeira, Portugal, June 8-12, 2010. Two invited papers are presented together with 39 contributions, which were carefully reviewed and selected from 62 full papers presented at the conference (out of 448 submissions). They reflect state-of-the-art research work that is often driven by real-world applications, thus successfully relating the academic with the industrial community. The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and internet computing, and human-computer interaction.
Author : Karrar Neamah Hussein
Publisher :
Page : 68 pages
File Size : 16,11 MB
Release : 2014
Category : Biometry
ISBN :
Author : Saba Mushtaq
Publisher : GRIN Verlag
Page : 65 pages
File Size : 44,95 MB
Release : 2017-10-05
Category : Technology & Engineering
ISBN : 3668541531
Master's Thesis from the year 2012 in the subject Technology, grade: 10, , language: English, abstract: In this research we evaluate the use of GLRLM features in offline handwritten signature verification. For each known writer we take a sample of fifteen genuine signatures and extract their GLRLM descriptors. We also used some forged signatures to test the efficiency of our system. We calculate the simple statistical measures and also inter- and intra-class Euclidean distances (measure of variability within the same author) among GLRLM descriptors of the known signatures. The key points Euclidean distances, the image distances and the intra class thresholds are stored as templates. We evaluate use of various intra-class distance thresholds like the mean, standard deviation and range. For each signature claimed to be of the known writers, we extract its GLRLM descriptors and calculate the inter-class distances, that is the Euclidean distances between each of its GLRLM descriptors and those of the known template and image distances between the test signature and members of the genuine sample. The intra-class threshold is compared to the inter-class threshold for the claimed signature to be considered a forgery. A database of 525 genuine signatures and 30 forged signatures consisting of a training set and a test set are used.
Author : Samir Abu Jamra
Publisher :
Page : 33 pages
File Size : 29,48 MB
Release : 2017
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ISBN :
Author : Dariusz Z. Lejtman
Publisher :
Page : 300 pages
File Size : 20,40 MB
Release : 2001
Category : Optical character recognition devices
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Author : Conrad Tiflin
Publisher :
Page : 170 pages
File Size : 39,22 MB
Release : 2003
Category : Computer security
ISBN :
Handwritten signature verification is defined as the classification process that strives to learn the manner in which an individual makes use of the muscular memory of their hands, fingers and wrist to reproduce a signature. A handwritten signature is captured by a pen input device and sampled at a high frequency which results in time series with several hundred data points. A novel recurrent neural network architecture known as long short-term memory was designed for modelling such long time series. This research investigated the suitability of long short-term memory recurrent neural networks for the task of on-line signature verification.
Author : S. N. Sivanandam
Publisher : Tata McGraw-Hill Education
Page : 0 pages
File Size : 11,36 MB
Release : 2006
Category : MATLAB.
ISBN : 9780070591127
Author : Nikola K. Kasabov
Publisher : Marcel Alencar
Page : 581 pages
File Size : 26,64 MB
Release : 1996
Category : Artificial intelligence
ISBN : 0262112124
Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
Author : Shailendra Kumar Dewangan
Publisher :
Page : 0 pages
File Size : 41,12 MB
Release : 2012-10-06
Category :
ISBN : 9783659265952