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Deadlines
(Previous Conference: CSSP 2015, Agios Nikolaos, Crete, Greece, October 17-19, 2015)
PLENARY SPEAKERS:
Prof. Ryszard S. Choraś Institute of Telecommunications and Computer Sciences Department of Telecommunications, Computer Sciences and Electrical Engineering UTP University of Sciences and Technology Bydgoszcz Poland, e-mail: choras@utp.edu.pl
Title: "A Review of Image Processing Methods and Biometric Trends for Personal Authentication and Identification"
Abstract: This lecture is a survey on methods of image processing and recognition for human identification. A biometric system is a pattern recognition system that recognizes a person based on a feature vector derived from a specific physiological or behavioral characteristic that the person possesses. All biometric systems work in a similar fashion: -The user submits a sample that is an identifiable, unprocessed image or recording of the physiological or behavioral biometric via an acquisition device, -This image and/or biometric is processed to extract information about distinctive features. Image processing system is defined and different types of features are extracted from a user. Biometric system may be viewed as a pattern recognition system that extracts a set of discriminative features from the input biometric template. Since traditional biometric systems have many limitations a new approach in biometrics used different models of multimodal systems. In multimodal biometric system various levels of fusion the personal attributes information is performed. We discussmodelofsoftbiometricfeaturesand methods and techniques for automated recognition based on those characteristics. We consider the current technical issues and challenges regarding the use of biometric system.
Prof. Anna Walaszek-Babiszewska Department of Control and Computer Engineering, Opole University of Technology, Poland, e-mail: a.walaszekbabiszewska@gmail.com
Title: "Stochastic-Fuzzy Approach to Modeling Discrete-Time Dynamical Systems"
Abstract: Fuzzy modeling and optimal control of dynamical systems in a discrete time domain are well known as the decision making in a fuzzy environment (Bellman and Zadeh, 1970) or as the multistage fuzzy control (Kacprzyk, 2001). Those works present very large scale of optimization problems, which have been applied in many fields of human activities. The dynamical system is described by its transition function, which can be deterministic, stochastic or fuzzy. The criterion of optimization, at the every i-th stage, is represented by a fuzzy set in a state space. Constraints are also defined as fuzzy sets in the input signal domain.
In the paper the proposed dynamical system is defined by fuzzy states and a transition function, which is represented by conditional probabilities of fuzzy events. The criteria of optimization, as well as constraints, at the i-th stage, constitute fuzzy sets in the respective domains.
The possibilities of application of the stochastic-fuzzy dynamical models to represent biological systems have been shown. The optimization task has been considered.