On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Using the Fisher Kernel Method to Detect Remote Protein Homologies
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
On-Line Handwriting Recognition with Support Vector Machines " A Kernel Approach
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
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Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Learning with non-positive kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Recent Advancements in Automatic Signature Verification
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
A tutorial on ν-support vector machines: Research Articles
Applied Stochastic Models in Business and Industry - Statistical Learning
On-Line Signature Verification With Two-Stage Statistical Models
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
On the use of support vector machines for phonetic classification
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Using the Fisher kernel method for Web audio classification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
DPW Approach for Random Forgery Problem in Online Handwritten Signature Verification
NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 01
Model-based signature verification with rotation invariant features
Pattern Recognition
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Pattern Recognition
Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations
IEEE Transactions on Pattern Analysis and Machine Intelligence
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
On-Line signature verification based on dynamic bayesian network
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Online signature verification with new time series kernels for support vector machines
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Online signature verification based on global feature of writing forces
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Improved DTW algorithm for online signature verification based on writing forces
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Fusion of local and regional approaches for on-line signature verification
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
A Markov chain Monte Carlo algorithm for bayesian dynamic signature verification
IEEE Transactions on Information Forensics and Security
Automatic Signature Verification: The State of the Art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Forgery Quality and Its Implications for Behavioral Biometric Security
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cancelable Biometrics Realization With Multispace Random Projections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On Using the Viterbi Path Along With HMM Likelihood Information for Online Signature Verification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A New Method for the Synthesis of Signature Data With Natural Variability
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An overview of statistical learning theory
IEEE Transactions on Neural Networks
A study on SMO-type decomposition methods for support vector machines
IEEE Transactions on Neural Networks
Fast on-line signature recognition based on VQ with time modeling
Engineering Applications of Artificial Intelligence
A survey of on-line signature verification
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
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In this paper, a new technique for online signature verification or identification is proposed. The technique integrates a longest common subsequences (LCSS) detection algorithm which measures the similarity of signature time series into a kernel function for support vector machines (SVM). LCSS offers the possibility to consider the local variability of signals such as the time series of pen-tip coordinates on a graphic tablet, forces on a pen, or inclination angles of a pen measured during a signing process. Consequently, the similarity of two signature time series can be determined in a more reliable way than with other measures. A proprietary database with signatures of 153 test persons and the SVC 2004 benchmark database are used to show the properties of the new SVM-LCSS. We investigate its parameterization and compare it to SVM with other kernel functions such as dynamic time warping (DTW). Our experiments show that SVM with the LCSS kernel authenticate persons very reliably and with a performance which is significantly better than that of the best comparing technique, SVM with DTW kernel.