Stability and style variation are important characteristics in handwriting analysis and recognition. This paper describes a stability modeling technique of handwritings in the context of on-line signature veri cation. With this technique, the stability and style-variation characteristics of the reference samples are deduced from the dynamic warping relationship between the sequences of basic ha...

In a conventional authentication process, every one may have a signature prototype that plays the role of valid benchmark. To recognize the online signature patterns, we proposed a dynamic recognition system based on a novel signature-based normalized features string (SNFS) as extracted features, and a multilayer perceptron (MLP) neural network as the classifier. We showed that the proposed SNF...

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...

With the technology development over the past decades, it became necessary to provide secure recognition systems. The Optical Character Recognition (OCR) can be considered as one of the most useful software to offer security. It works on the principal of recognizing the patterns with the use of a computer algorithm. OCR has multiple uses in places that need security verification such as banks, ...