БИОМЕТРИЧЕСКАЯ СИСТЕМА РАСПОЗНАВАНИЯ ПОЛЬЗОВАТЕЛЕЙ ПО ИЗОБРАЖЕНИЮ С WEB-КАМЕРЫ

2023

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.32523/2220-685x-2015-33-6-26-30
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

In search of new methods of protection, developers are increasingly turning their attention to the biometric system. Biometric systems recognize people based on their anatomical features (fingerprint, facial image, drawing the lines palm, iris, voice) or behavioral characteristics (signature, gait). Because these features are physically associated with the user biometric recognition as a reliable mechanism to witness that only those who have the necessary powers, could get into the building, access to a computer system, or cross the border state. Biometric systems also have unique advantages - they do not allow the perfect to renounce the transaction and provide an opportunity to determine when an individual uses several certificates (eg, passports) in different names. Thus, with competent implementation in the respective applications, biometric systems provide a high level of security