Signatures continue to be an important biometric because they remain widely used as a means of personal verification and therefore an automatic verification system is needed. Manual signature-based authentication of a large number of documents is a difficult and time consuming task. Consequently for many years, in the field of protected communication and financial applications, we have observed...

Boneh and Shacham gave a nice survey on four variants (Batch RSA, MultiPrime RSA, MultiPower RSA, Rebalanced RSA). Rebalanced RSA and MultiPower RSA were then combined to increase the decryption/signature generation performance. This combination theoretically improves the decryption/signature generation time about 14 times than RSA with CRT and about 56 times than the standard RSA with key size...

This paper presents the results of experiments on online signature verification. Information gathered during the signing process like pen trajectory, pressure, elevation and altitude is utilized to prove the authenticity of a signature or to detect a forgery attempt. Signature verification task is carried out by means of the Template Matching approach. The presented method is based on the signa...

Biometric signature verification, nowadays an important technique to recognize human identity. The accuracy of signature verification has lot of scope for improvement. In this paper, we propose an offline signature verification using fusion of Directional and Textural features. The Image is preprocessed and divided into sub-bands by applying DWT. The Directional featuresGradient, Coherence, Ori...

On-line signature verification can be used in real time applications like credit card transactions or resource accesses because of its popularity in regular authentication. In signature verification number of signatures avalible to train a model is very limited, and therefore identification of the most suitable features which characterize the class is critical. Therefore feature selection is es...

There are two common methodologies to verify signatures: the functional approach and the parametric approach. This paper presents a new approach for dynamic handwritten signature verification (HSV) using the Neural Network with verification by the Conjugate Gradient Neural Network (NN). It is yet another avenue in the approach to HSV that is found to produce excellent results when compared with...

An identity-based (ID-based) universal designated verifier signature (ID-UDVS) scheme allows a signature holder to designate a specific verifier of the signature by using a simplified public identity such as e-mail address. In the paper, we present an efficient identity-based universal designated multi-verifiers signature (ID-UDMVS) scheme by extending a single verifier to a set of multi-verifi...

Multi-model Biometrics authentication system have mainly two authentication process, face identification and signature verification. Facial expressions are a valuable source of information that accompanies facial biometrics. Early detection of physiological and psycho-emotional data from facial expressions is linked to the situational awareness module of any advanced biometric system for person...

This paper concerns the implementation of our online signature verification system on a mobile device. Verification involves confirming or denying a person‘s claimed identity. Our system is based on a Hidden Markov Model and outputs two complementary scores: the first one is related to the likelihood given by the HMM of the claimed identity; the second one is related to the segmentation given b...

Abstract Online signature verification considers signatures as time sequences of different measurements the signing instrument. These signals are captured on digital devices and therefore consist a discrete number samples. To enrich or simplify this information, several verifiers employ resampling interpolation preprocessing step to improve their results; however, design decisions may be diffic...