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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)  
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  ...  This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date.  ...  A model-guided segmentation technique has also been proposed [275] . This uses DTW to segment an input signature according to its correspondence with the reference model. III.  ... 
doi:10.1109/tsmcc.2008.923866 fatcat:truuxareprc3vluoetwv3yh43y

A Study on Handwritten Signature

L. B.Mahanta, Alpana Deka
2013 International Journal of Computer Applications  
Handwritten signature verification is a behavioral biometric.  ...  This paper presents some basic concepts of signature and also explores on different approaches for verification. General Terms Pattern Recognition and Security.  ...  In order to achieve defuzzification signature, defuzzification method was used. This offline handwriting signature is modeled by using fuzzy interpolation rational cubic Bezier curve.  ... 
doi:10.5120/13717-1489 fatcat:3kyeurqpifc3doh2ksyziabtyq

Distance and Fuzzy Classifiers Alliance: The Solution to Off-line Arabic Signature Verification System for Forensic Science

Saad Mohamed Darwish, Zainab H Noori
2018 International Journal of Artificial Intelligence Research  
Different from state-of-the-art works that adopt one-level of verification or multiple classifiers based on statistical learning theory; this work employs two-level of fuzzy set related verification.  ...  Whereas, the level two verification relies on the output of the fuzzy logic module depending on the membership functions that has been created from the signature features in the training dataset for a  ...  This approach uses the Mamdani model for fuzzy analysis that is implemented for level 2 classification.  ... 
doi:10.29099/ijair.v2i2.66 fatcat:tro77g5fe5dqto7yjbscxasa3u

Online Signature Verification: State of the art

Ibrahim El-Henawy, Magdy Rashad, Omima Nomir, Kareem Ahmed
online or Dynamic signature verification (DSV) is one of the most acceptable, intuitive, fast and cost effective tool for user authentication.  ...  We concentrate on the relationship between the verification approach used (the nature of the classifier) and the type of features that are used to represent the signature.  ...  Tarig Osman [97] proposed a neural network-based online signature verification system using vector autoregressive modeling and a velocity segmentation scheme.  ... 
doi:10.24297/ijct.v4i2c2.4872 fatcat:xln3pkyrdjbptelwuaq2ohteye

Automated Offline Arabic Signature Verification System using Multiple Features Fusion for Forensic Applications

Saad M. Darwish, Ashraf M. El-Nour
2016 Arab Journal of Forensic Sciences and Forensic Medicine  
The key point is using multiple feature fusion with fuzzy modeling to capture different aspects of a signature individually in order to improve the verification accuracy.  ...  This paper addresses the above difficulty by introducing a novel offline Arabic signature verification algorithm.  ...  The idea of fusing multi-classifiers for online signature verification problems using fuzzy inference was proposed by Khalid et al. (2011) [8].  ... 
doi:10.12816/0033136 fatcat:2k3pn4isczdpda6skyjhr6yide

Discrete fractional cosine transform based online handwritten signature verification

Mohit Arora, Kulbir Singh, Guneet Mander
2014 2014 Recent Advances in Engineering and Computational Sciences (RAECS)  
. iv A new method for an online handwritten signature verification based on finite impulse response (FIR) system is proposed by utilizing discrete fractional cosine transformation (DFrCT) for feature extraction  ...  Several biometric modalities are currently being tested for identity verification, but amongst all the possible biometric modalities, the handwritten signature has been used for the longest period of time  ...  A model-guided segmentation technique has also been proposed. This uses DTW to segment an input signature according to its correspondence with the reference model.  ... 
doi:10.1109/raecs.2014.6799647 fatcat:p3fkoapw55bp7gbcpuchje5ony

Off line Handwritten Signature Recognition based on Fusion of Global and GLCM Features Using Fuzzy Logic

2019 University of Thi-Qar Journal of Science  
In this paper, we present a new offline handwritten signature recognition system based on fusion of global and GLCM (Grey Level Co-occurrence Matrix) features using fuzzy logic system as classifier tool  ...  Signature is widely used and developed area of research for personal verification and authentication.  ...  Online signature verification is more robust, reliable, and accurate than offline signature verification as its dynamic properties make the process of forging an online signature more difficult [3] .  ... 
doi:10.32792/utq/utjsci/vol4/3/32 fatcat:ann6tqr56jh4zatl7rcdi6o3o4

A Survey on Handwritten Signature Verification Approaches

Basheer Mohamad, Abdulbaset Mohammed
2016 Communications on Applied Electronics  
Signature verification system scan be classified into two methods: online and offline. This paper explains the survey of various approaches related to offline signature verification systems.  ...  The most common secure personal authentication in biometrics is handwritten signature. Signature authentication is the process of verifying an individual's identity.  ...  Offline signature verification using fuzzy Logic is proposed by [35] . Hidden Markov Model Both offline and online signature verification approaches can used Hidden Markov Models (HMMs).  ... 
doi:10.5120/cae2016652144 fatcat:s6e3wojlrbe7plk6gsl3clwdx4

Specimen Authentication System Using Pixel-Based Algorithm

2020 SMCC Higher Education Research Journal  
Throughout the verification segment, the stage of conformity of an inputted sample and the fuzzy signature is deliberated (Kudłacik & Porwik, 2014) .  ...  Based on such structures, acquired from a chosen quantity of learning samples, a fuzzy model is created, referred to as the fuzzy signature.  ... 
doi:10.18868/ccs.03.060120.01 fatcat:tt25gbtcubcabgjdilsco2rg5e

A new approach to signature recognition using the fuzzy method

Przemysław Kudłacik, Piotr Porwik
2012 Pattern Analysis and Applications  
During a verification phase the level of conformity of an input sample and the fuzzy signature is calculated.  ...  On the basis of such structures, obtained from a chosen number of learning samples, a fuzzy model is created, called the fuzzy signature.  ...  The verification phase of such systems confronts chosen signature sample (or extracted features) to the fuzzy model and calculates the level of conformity.  ... 
doi:10.1007/s10044-012-0283-9 fatcat:6fuldtdmmnh6va6mqwp2dfowfe

Writer-Independent Offline Signature Verification Using Deep Learning

Mohammed Roshan Ahmed, Mohamed Nouman, Mohith C Shekar, Manoj L M, Natesh M
2022 International Journal for Research in Applied Science and Engineering Technology  
The main intent of signature verification is to distinguish whether the signature is genuine or forged. The signature verification can be offline or online.  ...  So human signature is used to recognize a person. There has been a fair amount of work done in the field of handwritten signature verification but still, the problem is unsolved.  ...  Future work can design a system that is a combination of online and offline verification systems.  ... 
doi:10.22214/ijraset.2022.41592 fatcat:skwocfob4ncgtjetvhzp6f563u

Off-Line Signature Recognition Systems

H B Kekre, V A Bharadi
2010 International Journal of Computer Applications  
Handwritten signature is one of the most widely used biometric traits for authentication of person as well as document. In this paper we discuss issues regarding off-line signature recognitions.  ...  We discuss a system designed using cluster based global features which is a multi algorithmic offline signature recognition system.  ...  Multi layer perceptron neural network was used for classification. In [47] Rhee and Cho used Model guided segmentation approach for segment-to-segment comparison to obtain consistent segmentation.  ... 
doi:10.5120/499-815 fatcat:4gjgolb3pzcanid6wor4k7aklq

A Perspective Analysis of Handwritten Signature Technology

Moises Diaz, Miguel A. Ferrer, Donato Impedovo, Muhammad Imran Malik, Giuseppe Pirlo, Réjean Plamondon
2019 ACM Computing Surveys  
ASVs typically model the peculiarities in the signatures found in a particular signature database, and this limits their applicability.  ...  Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verification, as previously published reviews in 1989,  ...  A scheme based on fuzzy measures of signatures segments was designed in [12] .  ... 
doi:10.1145/3274658 fatcat:au7cal7rkzeczd2dzrkzimu2wy

Non-Invertible Online Signature Biometric Template Protection via Shuffling and Trigonometry Transformation

Fahad LaythMalallah, Sharifah Mumtazah bt Syed Ahmad Abdul Rahman, Wan Azizun bt. Wan Adnan, Salman bin Yussof
2014 International Journal of Computer Applications  
The overall template protection scheme was tested rigorously on signature samples of a SIGMA database through an online signature verification system.  ...  This paper describes a novel approach to a cancelable template protection scheme that secures online handwritten signature samples in the reference database of a biometric verification system.  ...  An online signature biometric requires that signature samples are stored in a database for use as a reference model to verify a sample in question.  ... 
doi:10.5120/17169-7240 fatcat:wr47pxq4kjfapeyhuofb2dnxim

Handwritten Devanagari Script Recognition: A Survey

Aradhana A Malanker, Prof. Mitul M Patel
2014 IOSR Journal of Electrical and Electronics Engineering  
In India, many people use Devanagari script for documentation.  ...  Replies of public information can be handwritten in the space provided. (5) Signature verification HCR can also used for identify the person by signature verification.  ...  At first level lines are segmented using row histogram. From each row, words are extracted using column histogram and finally characters are extracted from words.  ... 
doi:10.9790/1676-09228087 fatcat:gp2tnmqoabdbrkreavjati6kh4
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