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Signature verification techniques utilize many different characteristics of an individual. The selection of signature features is critical in determining the performance of a signature verification system. Even though it is critical to select a suitable set of features to be extracted, emphasis has to be put into selecting an appropriate classifier for the(More)
Over the past years, Electrocardiogram (ECG) as a biometric characteristic, has been investigated in several works. The human heart is physiologically a liveness indicator. Feasibility of continuous signal acquisition and demonstration of subject aliveness, are the most important properties of ECG based authentication systems which makes them different from(More)
The palmprint is one of the most reliable physiological characteristics Among different approaches that exist in biometric. palmprint due to having high acceptability, stability and low cost of implementation has drawn attention from researchers. In this paper, we considered the palmprint as a texture and applied two types of feature extraction methods,(More)
Biometrics can provide more privacy and reliability to recognize a person, based on physiological information or bio-signals of him which is specific and inherent of that person and cannot be disguised by other individuals. Photoplethysmogram (PPG) is often considered as one of the non-invasive easy to access bio-signals of human being that is replete with(More)
This paper proposed a new approach for inner-knuckle-print recognition. Theinner knuckle print is one of the reliable physiological characteristics among different approaches that exist in biometric. In this paper, the image of the inner surface of the middle and ring fingers are used for human verification. We considered the inner knuckle print as a(More)
With the increase of communication and financial transaction through internet, on-line signature verification is an accepted biometric technology for access control and plays a significant role in authenticity and authorization in modernized society. Therefore, fast and precise algorithms for the signature verification are very attractive. The goal of this(More)
Previous works show that the electrocardiogram is a promising signal to be used as a biometric trait. The nonlinear methods for computing the dynamical properties of ECG signal, have been previously used. Since each of the large scale features of recurrence plots of ECG is related quite simply to time-domain features, they can provide good result in(More)
Motor imagery BCI is a system that is very useful to help people with disabilities who can't move their limbs. These systems use brain activity patterns that are made from motor imagery without actual movement. In this paper, we proposed enhanced One Versus One (OVO) structure to classify EEG-based multi-class motor imagery signals. Also, shrinkage(More)
Motor imagery BCI is a system that is very useful to help people with disabilities who can't move their limbs. These systems use brain activity patterns that are made from motor imagery without actual movement. In this paper, we proposed enhanced OVO structure to classify EEG-based multi-class motor imagery signals. Also, variable sized filter bank is(More)
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