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Template selection for on-line signature verification

Ningning Liu, Yunhong Wang
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
In this paper, we propose two effective methods to perform automatic template selection where the goal is to select prototype signature templates for a user from a given set of online signatures.  ...  Verification Competition 2004 ), with 20 genuine signatures and 20 skilled forgeries for each set, indicate that two proposed selection procedures as presented here results in better performance than  ...  In order to validate the effectiveness of the proposed methods for the automatic signature verification, both methods have been used to select 10 templates signatures among the 20 reference signatures  ... 
doi:10.1109/icpr.2008.4761537 dblp:conf/icpr/LiuW08 fatcat:6dmrg4zukra2jc3eklrpgopv4u

Selecting reference signatures for on-line signature verification [chapter]

G. Congedo, G. Dimauro, A. M. Forte, S. Impedovo, G. Pirlo
1995 Lecture Notes in Computer Science  
The acccuracy of an on-line signature verification system is improved by selecting, among a set of specimens available, the subset of reference signatures which is near-optimal for different signature  ...  Personal stability in signing in one of the key factors for highaccuracy signature verification. In this paper the local stability of a dynamic signature is measured.  ...  Among this set, the near-optimal subset of three signatures has been selected and used as reference for the verification system.  ... 
doi:10.1007/3-540-60298-4_308 fatcat:3h24lm2hkzb6xc5sjb5ra63ho4

AUTOMATIC SIGNATURE VERIFICATION WITH CHAIN CODE USING WEIGHTED DISTANCE AND EUCLIDEAN DISTANCE - A REVIEW

Abhilash Deshmukh .
2016 International Journal of Research in Engineering and Technology  
using the two dimensional scanned image of the signature.  ...  The signature forgery can be restricted by either online or offline signature verification techniques.  ...  With the increasing number of transactions, there is a desire of automatic signature verification to take place for authentication of the individual persons.  ... 
doi:10.15623/ijret.2016.0503045 fatcat:txa5hzhkyjhupham7fc4jejcgy

Stability Analysis of Static Signatures for Automatic Signature Verification [chapter]

Donato Impedovo, Giuseppe Pirlo
2011 Lecture Notes in Computer Science  
This paper presents a static signature verification system based on the concept of local stability.  ...  Stable regions are successively used for verification, in the running phase.  ...  These regions are then considered for automatic signature verification and a local verification decision is derived for each region.  ... 
doi:10.1007/978-3-642-24088-1_25 fatcat:qwepry2jdbhm5apx3fc5hlzo6y

Multi Check-Sign: Integration of Multimodal Verification Using Signature Identification & Android Based Graphical Pattern Analysis

Kishore Kumar D
2017 International Journal for Research in Applied Science and Engineering Technology  
Neural network & Back Propagation Algorithm is used for signature Verification, after successful authentication of signature verification, android based Graphical password is verified.  ...  User has to select the same Set of Images and same Pixel Values for Authentication. User is authenticated only if both signature and Android based Graphical Password are matched.  ...  Automatic In recent years, in conjunction with the extraordinary diffusion of the web and a growing want for private verification in several daily applications, automatic signature verification is being  ... 
doi:10.22214/ijraset.2017.3025 fatcat:jnzcpaim5bcjrl7azzt6hz5gji

Automatic Signature Verification: The State of the Art

Donato Impedovo, Giuseppe Pirlo
2008 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.  ...  In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with  ...  The selection of the best subset of reference signatures can be avoided at the cost of using multiple models for signature verification [148] , [197] , [198] .  ... 
doi:10.1109/tsmcc.2008.923866 fatcat:truuxareprc3vluoetwv3yh43y

JFDE Editorial - 2014

Angelo Marcelli, M. Patricia Fisher
2018 Journal of Forensic Document Examination  
., "Online Signature Verification: Automatic Feature Selection vs.  ...  power of automatically selected feature sets.  ... 
doi:10.31974/jfde24-3-4 fatcat:xyc45iwx4fcljmewvb6tik43pe

Offline Signature Verification and Forgery Detection Based on Computer Vision and Fuzzy Logic

Gautam S. Prakash, Shanu Sharma
2014 IAES International Journal of Artificial Intelligence (IJ-AI)  
After the verification of the signature the angle features are used in fuzzy logic based system for forgery detection.</p>  ...  <p>Automated signature verification and forgery detection has many applications in the field of Bank-cheque processing,document authentication, ATM access etc.  ...  Selected Signature is Forged CONCLUSION The described system for Automatic Signature Verification and Forgery Detection have numerous applications in various fields like Bank-Cheque processing, ATM access  ... 
doi:10.11591/ijai.v3.i4.pp156-165 fatcat:bgn33lyb4fc2rh7j7zhu5exl2a

Online Signature Verification: Is the Whole Greater Than the Sum of the Parts? [chapter]

Marianela Parodi, Juan Carlos Gómez
2015 Lecture Notes in Computer Science  
To choose the best features to model the signatures is one of the most challenging problems in online signature verification.  ...  In particular, the combination of an automatically selected feature set, a feature set inspired by the ones used by Forensic Handwriting Experts (FHEs), and a set of global features is proposed.  ...  Introduction Automatic signature verification is an important research area in the field of biometrics [1] , being the most popular method for identity verification.  ... 
doi:10.1007/978-3-319-25751-8_19 fatcat:2nqcauiplbacbklvmeluneidjq

Investigating the Common Authorship of Signatures by Off-line Automatic Signature Verification without the Use of Reference Signatures

Moises Diaz, Miguel A. Ferrer, Soodamani Ramalingam, Richard Guest
2019 IEEE Transactions on Information Forensics and Security  
This paper addresses the problem of automatic signature verification when no reference signatures are available.  ...  In Automatic Signature Verification, questioned specimens are usually compared with reference signatures.  ...  EVALUATING THE COMMON AUTHORSHIP OF A SET OF SIGNATURES In the following, three methods for automatic off-line signature verification without reference signatures are proposed.  ... 
doi:10.1109/tifs.2019.2924195 fatcat:lamkpjuqdfgvlbycs7bsrx2nna

Security Evaluation of Online Signature Verification System using Webcams

T. Venkatesh, Balaji.S Balaji.S, Chakravarthy A S N
2012 International Journal of Computer Applications  
This paper mainly focused on the evaluation of an authentication system based on personal signatures. Signature verification is an important research topic in the area of biometric authentication.  ...  Then the distance between the input signature data and reference signature data enrolled in advance is computed using Dynamic Time Warping (DTW).  ...  University management for providing necessary facilities to carry out this work.  ... 
doi:10.5120/5617-7901 fatcat:7s3dc2nhm5axhkjpj53gaguc2q

Offline Signature Verification Using Local Interest Points and Descriptors [chapter]

Javier Ruiz-del-Solar, Christ Devia, Patricio Loncomilla, Felipe Concha
2008 Lecture Notes in Computer Science  
In this article, a new approach to offline signature verification, based on a general-purpose wide baseline matching methodology, is proposed.  ...  The proposed system is validated using the GPDS signature database, where it achieves a FRR of 16.4% and a FAR of 14.2%.  ...  Previously for each classification the relevant features were automatically selected using Weka. Table 1 shows the training and test sets employed for our experiments.  ... 
doi:10.1007/978-3-540-85920-8_3 fatcat:vixou257jvgkbhbt5xbdqxqva4

FEATURE SELECTION METHOD FOR OFFLINE SIGNATURE VERIFICATION

Zuraidasahana Zulkarnain, Mohd Shafry Mohd Rahim, Nur Zuraifah Syazrah Othman
2015 Jurnal Teknologi  
A low value of FAR and FRR are required to obtain accurate verification result. There is a need to select the best features set of the signatures attributes among them.  ...  Graphical abstract Abstract Signature verification is defined as one of the biometric identification method using a person's signature characteristics.  ...  On the other hand, in a research conducted by [10] , they proposed a new decision making technique that can be applied on multiple-sets of features (MSF) for automatic signature verification.  ... 
doi:10.11113/jt.v75.5070 fatcat:ekon57ftfngohlknajqplfslay

A writer-independent approach for offline signature verification using deep convolutional neural networks features [article]

Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin
2018 arXiv   pre-print
verification (HSV) when compared to the previous state-of-the-art methods.  ...  The use of features extracted using a deep convolutional neural network (CNN) combined with a writer-dependent (WD) SVM classifier resulted in significant improvement in performance of handwritten signature  ...  To perform the verification, the reference set R is composed of 12 randomly selected genuine signatures from each writer of the exploitation database ε.  ... 
arXiv:1807.10755v1 fatcat:2yatslgkare6pihftpuvpesqve

Multiscale Feature Learning Using Co-Tuplet Loss for Offline Handwritten Signature Verification [article]

Fu-Hsien Huang, Hsin-Min Lu
2023 arXiv   pre-print
Handwritten signature verification, crucial for legal and financial institutions, faces challenges including inter-writer similarity, intra-writer variations, and limited signature samples.  ...  To address these, we introduce a MultiScale Signature feature learning Network (MS-SigNet) with a novel metric learning loss called the co-tuplet loss, designed for offline handwritten signature verification  ...  In contrast, offline verification refers to the static verification of scanned digital signatures.  ... 
arXiv:2308.00428v2 fatcat:krlsbsc5hnfkpjm4vvhuoc5s2m
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