A new algorithm for identity verification based on the analysis of a handwritten dynamic signature

[1]  Oscar H. IBARm.  Information and Control , 1957, Nature.

[2]  Miss A.O. Penney.  (b) , 1974, The New Yale Book of Quotations.

[3]  Shaogang Gong,et al.  Audio- and Video-based Biometric Person Authentication , 1997, Lecture Notes in Computer Science.

[4]  Anil K. Jain,et al.  On-line signature verification, , 2002, Pattern Recognit..

[5]  Anil K. Jain,et al.  On-line signature verification, , 2002, Pattern Recognit..

[6]  Leszek Rutkowski,et al.  Flexible neuro-fuzzy systems , 2003, IEEE Trans. Neural Networks.

[7]  Juan J. Igarza,et al.  MCYT baseline corpus: a bimodal biometric database , 2003 .

[8]  Hong Yan,et al.  Stability and style-variation modeling for on-line signature verification , 2003, Pattern Recognit..

[9]  Hong Chang,et al.  SVC2004: First International Signature Verification Competition , 2004, ICBA.

[10]  Venu Govindaraju,et al.  A comparative study on the consistency of features in on-line signature verification , 2005, Pattern Recognit. Lett..

[11]  Berrin A. Yanikoglu,et al.  Identity authentication using improved online signature verification method , 2005, Pattern Recognit. Lett..

[12]  Loris Nanni,et al.  Ensemble of Parzen window classifiers for on-line signature verification , 2005, Neurocomputing.

[13]  Loris Nanni,et al.  An On-Line Signature Verification System Based on Fusion of Local and Global Information , 2005, AVBPA.

[14]  Leszek Rutkowski,et al.  Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems , 2005, IEEE Transactions on Fuzzy Systems.

[15]  Loris Nanni,et al.  Advanced methods for two-class problem formulation for on-line signature verification , 2006, Neurocomputing.

[16]  Loris Nanni,et al.  An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers , 2006, Neurocomputing.

[17]  M. Aurangzeb Khan,et al.  Velocity-Image Model for Online Signature Verification , 2006, IEEE Transactions on Image Processing.

[18]  Julian Fiérrez,et al.  HMM-based on-line signature verification: Feature extraction and signature modeling , 2007, Pattern Recognit. Lett..

[19]  Murat Ekinci,et al.  Human Gait Recognition Based on Kernel PCA Using Projections , 2007, Journal of Computer Science and Technology.

[20]  Marcos Faúndez-Zanuy,et al.  On-line signature recognition based on VQ-DTW , 2007, Pattern Recognit..

[21]  Leszek Rutkowski,et al.  Computational intelligence - methods and techniques , 2008 .

[22]  Arun Ross,et al.  An introduction to biometrics , 2008, ICPR 2008.

[23]  Loris Nanni,et al.  A novel local on-line signature verification system , 2008, Pattern Recognit. Lett..

[24]  Patricia Melin,et al.  Modular Neural Networks with Fuzzy Response Integration for Signature Recognition , 2009, Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition.

[25]  BioSecure Signature Evaluation Campaign 2009 ( BSEC ' 2009 ) : Results , 2009 .

[26]  K. Cpałka.  On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification , 2009 .

[27]  Loris Nanni,et al.  Ensemble of on-line signature matchers based on OverComplete feature generation , 2009, Expert Syst. Appl..

[28]  Réjean Plamondon,et al.  Development of a Sigma-Lognormal representation for on-line signatures , 2009, Pattern Recognit..

[29]  Krzysztof Cpalka,et al.  A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems , 2009, IEEE Transactions on Neural Networks.

[30]  Sridha Sridharan,et al.  Dynamic visual features for audio-visual speaker verification , 2010, Comput. Speech Lang..

[31]  Ling Guan,et al.  Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification , 2010, Pattern Recognit..

[32]  Yoo-Sung Kim,et al.  A hybrid online signature verification system supporting multi-confidential levels defined by data mining techniques , 2010, Int. J. Intell. Syst. Technol. Appl..

[33]  Emanuele Maiorana,et al.  Biometric cryptosystem using function based on-line signature recognition , 2010, Expert Syst. Appl..

[34]  Marcos Faúndez-Zanuy,et al.  Efficient on-line signature recognition based on multi-section vector quantization , 2010, Pattern Analysis and Applications.

[35]  Loris Nanni,et al.  Combining local, regional and global matchers for a template protected on-line signature verification system , 2010, Expert Syst. Appl..

[36]  Olufemi A. Omitaomu,et al.  Weighted dynamic time warping for time series classification , 2011, Pattern Recognit..

[37]  Francisco Herrera,et al.  Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures , 2011, Inf. Sci..

[38]  K. R. Radhika,et al.  Signature authentication based on subpattern analysis , 2011, Appl. Soft Comput..

[39]  Marcos Faúndez-Zanuy,et al.  Fast on-line signature recognition based on VQ with time modeling , 2011, Eng. Appl. Artif. Intell..

[40]  János Abonyi,et al.  Correlation based dynamic time warping of multivariate time series , 2012, Expert Syst. Appl..

[41]  Marcin Zalasinski,et al.  Novel Algorithm for the On-Line Signature Verification , 2012, ICAISC.

[42]  Robert Sabourin,et al.  Dynamic selection of generative-discriminative ensembles for off-line signature verification , 2012, Pattern Recognit..

[43]  Wei-Ning Yang,et al.  Constructing gene regulatory networks from microarray data using GA/PSO with DTW , 2012, Appl. Soft Comput..

[44]  Leszek Rutkowski,et al.  Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation , 2012, IEEE Transactions on Industrial Electronics.

[45]  Bhabatosh Chanda,et al.  Writer-independent off-line signature verification using surroundedness feature , 2012, Pattern Recognit. Lett..

[46]  Valentín Cardeñoso-Payo,et al.  BioSecure signature evaluation campaign (BSEC'2009): Evaluating online signature algorithms depending on the quality of signatures , 2012, Pattern Recognit..

[47]  Marcin Zalasinski,et al.  New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning , 2013, ICAISC.

[48]  Patricia Melin,et al.  Development of an Automatic Method for Classification of Signatures in a Recognition System Based on Modular Neural Networks , 2013, Recent Advances on Hybrid Intelligent Systems.

[49]  Robert Nowicki,et al.  On design of flexible neuro-fuzzy systems for nonlinear modelling , 2013, Int. J. Gen. Syst..

[50]  Krystian Lapa,et al.  A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects , 2014, Neurocomputing.

[51]  Leszek Rutkowski,et al.  New method for the on-line signature verification based on horizontal partitioning , 2014, Pattern Recognit..

[52]  Meng Joo Er,et al.  New Method for Dynamic Signature Verification Using Hybrid Partitioning , 2014, ICAISC.

[53]  Juan Carlos Gómez,et al.  Legendre polynomials based feature extraction for online signature verification. Consistency analysis of feature combinations , 2014, Pattern Recognit..

[54]  Chuan-Jun Su,et al.  Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic , 2014, Appl. Soft Comput..

[55]  Marcin Zalasinski,et al.  On-line signature verification using vertical signature partitioning , 2014, Expert Syst. Appl..

[56]  Miguel Angel Ferrer-Ballester,et al.  On-line signature recognition through the combination of real dynamic data and synthetically generated static data , 2015, Pattern Recognit..

[57]  S. Gopika,et al.  Online and Offline Signature Verification: A Combined Approach , 2015 .

[58]  Youcef Chibani,et al.  The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters , 2015, Pattern Recognit..

[59]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[60]  Christian Borgelt,et al.  Computational Intelligence , 2016, Texts in Computer Science.

[61]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .