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ARTIFICIAL INTELLIGENCE BASED METHODS OF IDENTIFICATION AND AUTHENTICATION BY FACE IMAGE
Maqola haqida umumiy ma'lumotlar
A facial recognition system is a technology that can match a human face from a digital image or video frame to a database of faces. Such a system is typically used to authenticate users through identity verification services and works by accurately defining and measuring facial features from a given image. In the 1960s, development began on similar systems, which began as a form of computer application. Since its inception, facial recognition systems have recently become more widely used in smartphones and other forms of technology such as robotics. This paper explores the classical and artificial intelligence-based methods of face image identification and authentication, identifies the existing barriers to face recognition, and presents several methods to overcome them. The article proposes several methods for building a facial image-based authentication system and improving its effectiveness. Methods such as artificial neural networks, machine learning algorithms, etc. are widely used in the construction of the proposed system. The created system helps to improve the efficiency of biometric authentication systems based on facial images.
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Saurova, K. E., & Hayitbaeva, D. . (2024). ARTIFICIAL INTELLIGENCE BASED METHODS OF IDENTIFICATION AND AUTHENTICATION BY FACE IMAGE. Academic Research in Educational Sciences, 5(3), 123–130. https://doi.org/
Saurova, Kamola, and Dilafroz Hayitbaeva,. “ARTIFICIAL INTELLIGENCE BASED METHODS OF IDENTIFICATION AND AUTHENTICATION BY FACE IMAGE.” Academic Research in Educational Sciences, vol. 3, no. 5, 2024, pp. 123–130, https://doi.org/.
Saurova, E. and Hayitbaeva, . 2024. ARTIFICIAL INTELLIGENCE BASED METHODS OF IDENTIFICATION AND AUTHENTICATION BY FACE IMAGE. Academic Research in Educational Sciences. 3(5), pp.123–130.