On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-line Signature Verification Using Local Shape Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
On-Line Signature Verification with Hidden Markov Models
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
On-Line Signature Verification With Two-Stage Statistical Models
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Local and Global Feature Selection for On-line Signature Verification
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A comparative study on the consistency of features in on-line signature verification
Pattern Recognition Letters
HMM-based on-line signature verification: Feature extraction and signature modeling
Pattern Recognition Letters
A novel local on-line signature verification system
Pattern Recognition Letters
A writer identification system for on-line whiteboard data
Pattern Recognition
On-line signature verification system with failure to enrol management
Pattern Recognition
Feature Selection and Binarization for On-Line Signature Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Development of a Sigma-Lognormal representation for on-line signatures
Pattern Recognition
Dynamic tongueprint: A novel biometric identifier
Pattern Recognition
Online signature verification algorithm with a user-specific global-parameter fusion model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Visual-based online signature verification using features extracted from video
Journal of Network and Computer Applications
Finger vein recognition with manifold learning
Journal of Network and Computer Applications
International Journal of Intelligent Systems Technologies and Applications
An approach for on-line signature authentication using Zernike moments
Pattern Recognition Letters
Signature classification using optimum contour
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Signature recognition and verification with artificial neural network using moment invariant method
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
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
A study on enhanced dynamic signature verification for the embedded system
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Online writer verification using kanji handwriting
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Gaussian mixture models for CHASM signature verification
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
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 methodological framework for investigating age factors on the performance of biometric systems
Proceedings of the on Multimedia and security
Effectiveness of pen pressure, azimuth, and altitude features for online signature verification
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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On-line dynamic signature verification systems were designed and tested. A data base of more than 10,000 signatures in (x(t), y(t))-form was acquired using a graphics tablet. We extracted a 42-parameter feature set at first, and advanced to a set of 49 normalized features that tolerate inconsistencies in genuine signatures while retaining the power to discriminate against forgeries. We studied algorithms for selecting and perhaps orthogonalizing features in accordance with the availability of training data and the level of system complexity. For decision making we studied several classifiers types. A modified version of our majority classifier yielded 2.5% equal error rate and, more importantly, an asymptotic performance of 7% false acceptance rate at zero false rejection rate, was robust to the speed of genuine signatures, and used only 15 parameter features.