Biometric Methods of Identification and Verification in the Systems of Tele-Education

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The paper considers the problem of identification of students in problem-oriented distance learning systems (tele-education). The use of biometric technologies in tele-education systems is becoming the most effective solution to the problem of adequate identification of the student. However, the problem of choosing the most appropriate biometric methods still remains unsolved. In this paper the solution of selecting appropriate biometric identification and verification methods of identity of students is encouraged to implement on the basis of a unified system of biometric classification. The basis of this classification are systemic and comprehensive approach, and corresponding to this approach, system-integrated analysis (SI-analysis). To present a general and ordered biometric image, a unified classification system is suggested, which is based on a system-integrated analysis. The suggested system-complex classification is based on aspect, component, attributive and parametric analysis. Biometric identification and verification methods are classified according to the types of biometric identifiers, determined by anatomical, physiological factors, as well as psychological (behavior) and psychophysical characteristics of a person. For a reliable identification of personality in tele-education systems multimodal biometrics methods (MBM) are offered, i.e. based on several mutually agreed biometric methods. On the basis of SI-analysis are highlighted biometric methods which are the most appropriate to the tasks of personal identification in tele-education systems. Examples of specific methods oriented to use in computer and telecommunication training systems are given in this paper.