Marcin Zalasiński

Czestochowa University of Technology · Institute of Computational Intelligence

Identity verification takes into account biometric attributes. Behavioral ones are particularly important. One of them is a dynamic signature. An analysis of such type of a signature uses signals describing the signing process. In this paper, we consider the velocity signal and propose a new method for dividing the dynamic signature into groups. In...

In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration...

The dynamic signature is a biometric attribute used for identity verification. It contains information on dynamics of the signing process. There are many approaches to the dynamic signature verification, including the one based on signature partitioning. Partitions are the regions created on the basis of signals describing the dynamics of the signa...

Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper presents a new approach to the monitoring of a regenerative heat exchanger in a steam power plant, which is based on a specific use of the Recurrent Neural Network (RNN). The p...

The dynamic signature is an attribute used in behavioral biometrics for verifying the identity of an individual. This attribute, apart from the shape of the signature, also contains information about the dynamics of the signing process described by the signals which tend to change over time. It is possible to process those signals in order to obtai...

The ability to organize, separate and manipulate individual molecules and ions on a surface opens up almost unlimited opportunities. However, it often requires complex techniques and a proper support material. With this in mind, we show a new concept of 2D solid solvents and review a simple and efficient procedure which is based on nanostructured f...

Dynamic signature is a biometric attribute which is commonly used for identity verification. Artificial intelligence methods, especially population-based algorithms (PBAs), can be very useful in the dynamic signature verification process. They are able to, among others, support selection of the most characteristic descriptors of the signature or pe...

In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape...

The on-line signature is a biometric attribute which can be used for identity verification. It is a very useful characteristic because it is commonly accepted in societies across the world. However, the verification process using this particular biometric feature is a rather difficult one. Researchers working on identity verification involving the...

Artificial intelligence methods are used in many fields of applications. One of them is biometrics. It deals with a broadly understood analysis of physical and behavioural biometric characteristics. Behavioral characteristics are particularly important from a practical point of view. They describe, among others, learned behaviors of human beings. T...

In this paper, we propose a new population-based algorithm (PBA) that adjusts its search mechanism to the problem which is to be optimized. It uses a set of search operators used in commonly-used PBAs and this selection can be made freely. The proposed algorithm selects two operators from this set, i.e. one for exploration and the other for exploit...

Verification of a signature on the basis of its dynamics is an important issue of biometrics. This kind signature is called the dynamic signature. It can be represented, among others, by the set of features determined on the basis of time characteristics: pen velocity, pen pressure on the surface of a graphics tablet, etc. Values of the features ca...

Dynamic signature is a biometric attribute which can be used to perform verification of the identity. It consists of waveforms describing dynamics of a signing process. The waveforms are acquired using a digital input device, e.g. graphic tablet or touchscreen. During verification process the signature is usually represented by descriptors, which c...

This paper presents original solutions from the field of intelligent expert systems for use in behavioral biometrics. They combine possibilities offered by biometric methods with the theory of fuzzy sets and the theory of population-based algorithms. Behavioral biometrics is concerned with learned behaviors such as a way of signing, movement, speak...

Identity verification based on the dynamic signature is an important issue of biometrics. Analysis of the signature dynamics, especially selecting partitions in order to improve processing precision, is very often used to evaluate whether a given signature is genuine. In our previous works we have presented methods for selecting partitions with a s...

Verification of the dynamic signature is an important issue of biometrics. There are many methods for the signature verification using dynamics of the signing process. Many of these methods are based on the so-called global features. In this paper we propose a new approach to the signature verification using global features. The proposed approach c...

Analysis of biometric attributes’ changes is an important issue of behavioral biometrics. It seems to be very important in the case of identity verification. In this paper the analysis of features describing the dynamic signature was performed. The dynamic signature is represented by a set of nonlinear waveforms describing dynamics of signing proce...

Dynamic signature verification is an important area of biometrics. In this area methods from the field of computational intelligence can be used. In this paper we propose a new method for genetic selection of the most characteristic descriptors of the dynamic signature. The descriptors are global features of the signature and components created wit...

Dynamic signature can be represented by a set of global features. These features are interpreted as e.g. number of pen ups, time of signing process, etc. Values of global features can be determined on the basis of non-linear waveforms defining dynamics of the signature. They are acquired using graphic tablet or a device with a touch screen. In this...

Identity verification using the dynamic signature is an important biometric issue. Its big advantage is that it is commonly socially acceptable. Verification based on so-called global features is one of the most effective methods used for this purpose. In this paper we propose an approach which minimises a number of the features used during verific...

Dynamic signature verification is a very interesting biometric issue. It is difficult to realize because signatures of the user are characterized by relatively high intra-class and low inter-class variability. However, this method of an identity verification is commonly socially acceptable. It is a big advantage of the dynamic signature biometric a...

On-line signature is a behavioral biometric attribute used for an identity verification. In our previous papers we have proposed methods for the signature verification based on horizontal, vertical and hybrid partitioning. All of them divide signatures into regions called partitions, which are used during training and classification phase. In this...

In this paper we propose a new algorithm for on-line signature verification using characteristic global features values. It is based on so-called global features which describe characteristic attributes of the signature, e.g. time of signing process, number of pen-ups, average velocity of the pen etc. Our method assumes evaluation of the global fea...

Identity verification based on authenticity assessment of a handwritten signature is an important issue in biometrics. There are many effective methods for signature verification taking into account dynamics of a signing process. Methods based on partitioning take a very important place among them. In this paper we propose a new approach to signatu...

In this paper we propose a new approach to identity verification based on the analysis of the dynamic signature. Considered problem seems to be particularly important in terms of biometrics. Effectiveness of signature verification significantly increases when dynamic characteristics of the signature are considered (e.g. velocity, pen pressure, etc....

In this paper we propose a new approach to nonlinear modelling. It uses capabilities ofthe so-called flexible neuro-fuzzy systems and evolutionary algorithms. The aim of our method is not only to achieve appropriate accuracy of the model, but also to ensure the possibility of interpretability of the knowledge within it. The proposed approach was ac...

Dynamic signature is behavioural biometric attribute which is commonly used to identity verification. Methods based on the partitioning are one of the types of methods for identity verification using signature biometric attribute. These methods divide trajectories of the signature into parts and during verification phase compare created fragments o...

Identity verification based on the dynamic signatures is commonly known issue of biometrics. This process is usually done using methods belonging to one of three approaches: global approach, local function based approach and regional function based approach. In this paper we focus on global features based approach which uses the so called global fe...

Verification of identity based on the analysis of dynamic signatures is an important problem of biometrics. The effectiveness of the verification significantly increases when the dynamic characteristics of signature (e.g. velocity of the pen) are considered. These characteristics are individual for each user and difficult to imitate. The effectiven...

Identity verification based on on-line signature is a commonly known biometric task. Some methods based on the on-line signature biometric attribute used for identity verification use information from partitions of the signature. Efficiency of these methods is relatively high. In this paper we would like to present a new approach to signature traje...

In this paper we propose a new method for evolutionary selection of parameters and structure of neuro-fuzzy system for nonlinear modelling. This method allows maintain the correct proportions between accuracy, complexity and interpretability of the system. Our algorithm has been tested using well-known benchmarks.

Methods using dynamic signature for identity verification may be divided into three main categories: global methods, local function based methods and regional function based methods. Global methods base on a set of global parametric features, which are extracted from signature of user. Global feature extraction methods have been often presented in...

Verification of identity based on the analysis of dynamic signatures is an important problem of biometrics. The effectiveness of the verification significantly increases when the dynamic characteristics of signature (e.g. velocity of the pen) are considered. These characteristics are individual for each user and difficult to imitate. The effectiven...

On-line signature is a biometric attribute used in a identity verification process. One of the most effective methods of signature verification is the method based on partitioning of signature trajectories. In this paper a concept of new approach to identity verification based on partitioning of trajectories is presented. In this approach signature...