Dynamic signature recognition based on velocity changes of some features
International Journal of Biometrics
Conic section function neural network circuitry for offline signature recognition
IEEE Transactions on Neural Networks
A hybrid ANN-based technique for signature verification
CI'10 Proceedings of the 4th WSEAS international conference on Computational intelligence
Enhancing hand gesture recognition using fuzzy clustering-based mixture-of-experts model
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
A survey of on-line signature verification
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Adaptive mixture-of-experts models for data glove interface with multiple users
Expert Systems with Applications: An International Journal
Dynamic signature recognition based on modified windows technique
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
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Utilizing the multiple degrees of freedom offered by the data glove for each finger and the hand, a novel on-line signature verification system using the Singular Value Decomposition (SVD) numerical tool for signature classification and verification is presented. The proposed technique is based on the Singular Value Decomposition in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, so the effective dimensionality of A can be reduced. Having modeled the data glove signature through its r-principal subspace, signature authentication is performed by finding the angles between the different subspaces. A demonstration of the data glove is presented as an effective high-bandwidth data entry device for signature verification. This SVD-based signature verification technique is tested and its performance is shown to be able to recognize forgery signatures with a false acceptance rate of less than 1.2%.