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International Journal of Engineering in Computer Science

Impact Factor (RJIF): 5.52, P-ISSN: 2663-3582, E-ISSN: 2663-3590
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2024, Vol. 6, Issue 2, Part B

Human biometric identification: Application and evaluation


Author(s): Sundws Mustafa Mohammed, Shahlaa Mashhadani and Oday Ali Hassen

Abstract: Biometric detection methods are an integral part of human identification systems, which allow the examination of specific individuals for forensic purposes. For criminal identification and general analyzes of human characteristics, investigative authorities use these methods. This paper presents a variety of perspectives and aspects of human characteristics as they relate to biometrics, and furthermore, the many aspects associated with biometric applications are highlighted in this paper. Biometrics applications rely heavily on human aspects, such as training AI models with a high degree of learning and training processes, which in turn trains the entire model to reflect human views and traits in terms of human characteristics, such as face, fingerprint, lip, or iris, Or the palm of the hand, or even the tongue, which is part of the human identification system. In today's world, technological equipment has taken over control tasks previously performed by humans and automation has spread into almost every aspect of life. An increasingly urgent need has arisen for a trustworthy personal identification system to verify users' identities before granting them access to restricted areas or rejecting counterfeiters. As a direct result of this. For example, when an unauthorized person gains access to the password, traditional verification methods that rely on passwords are vulnerable to hacking. Therefore, for the purpose of individual identification, many biometric methods have been designed by different academics. One example of a biometric feature is one that does not require tokens or saving. Physiological or behavioural characteristics of an individual are used by biometrics-based personal identification systems for the purpose of recognition where speech, handwriting, keystrokes, etc. are behavioral traits, while fingerprints, faces, and hand geometry are physiological traits. The increasing need to establish and verify trustworthy personal identity in many public and private sectors has led to tremendous development in biometric authentication technology in recent years. This manuscript also covers a wide range of topics related to biometric applications, opening many potential areas for use in human trait detection and assessment, ultimately improving the overall performance and accuracy of existing systems. In order to accurately identify humans, the paper details several aspects of human traits. This research also provides a comparative analysis and evaluation of several proposed biometric identification methods as well as documents their potential applications and rejection of fraudsters.

DOI: 10.33545/26633582.2024.v6.i2b.136

Pages: 131-152 | Views: 1359 | Downloads: 747

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International Journal of Engineering in Computer Science
How to cite this article:
Sundws Mustafa Mohammed, Shahlaa Mashhadani, Oday Ali Hassen. Human biometric identification: Application and evaluation. Int J Eng Comput Sci 2024;6(2):131-152. DOI: 10.33545/26633582.2024.v6.i2b.136
International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science
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