Year: 2024
Type: article
Abstract: Biometric systems identify a person based on their unique physical characteristics, such as fingerprints, facial recognition, iris, voice, etc. These systems are widely used in various fields, including security, access control, banking and healthcare. However, they also face a number of technical, ethical and legal challenges that need to be addressed to ensure their effective implementation and use. The advantages of biometric systems include high accuracy and reliability of identification, which is ensured by the uniqueness of each person's biometric data. This makes them effective in ensuring the security of objects and information, access control and automation of various processes. Biometric systems are also known for their convenience for users, who can avoid the need to remember complex passwords or carry keys. However, there are also serious limitations. One of the biggest issues is privacy and data security. Biometric data, which at the same time are immutable, can become the object of theft or misuse. This can lead to serious consequences for users, including identity fraud and crime. In addition, it is important to consider that not all people can comfortably use biometric systems due to physical or medical limitations. The second key aspect is technical problems, such as insufficient accuracy of systems, vulnerability to falsification and instability in different operating conditions. For example, facial recognition systems may not work accurately enough when emotions or lighting change. To solve these problems, it is necessary to develop comprehensive approaches that include not only technical, but also ethical and legal data protection mechanisms. It is also important to ensure a high level of user education regarding the security and privacy of the use of biometric systems. In conclusion, biometric systems represent a powerful tool for security and identification in various fields, but their effective implementation requires attention to technical, ethical and legal aspects.
Authors: Yevheniia Shabala, Borys Korniichuk, Dmytro Humennyi
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404724806