PALM IMAGE DATABASES AND THEIR COMPARATIVE ANALYSIS

Authors

  • Нарзулло Маматов Doctor of Technical Sciences, Professor, Head of the Department of Digital Technologies and Artificial Intelligence, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan Author
  • Элмурод Кодиров Assistant, Department of Digital Technologies and Artificial Intelligence, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan Author
  • Аҳлиддин Нажмиддинов Bachelor student, Department of Digital Technologies and Artificial Intelligence, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan Author

Keywords:

Online and offline databases, low and high resolution images, real-time, size, resolution (dpi).

Abstract

This paper presents a comprehensive survey of offline and online palm image databases, which is one of the fields of biometric identification systems, and examines the unique aspects of palm image recognition, comparing offline and online databases, their achievements, and challenges. Offline databases, usually consisting of high-resolution images, allow to determine the detailed features of the palm image, however, due to their high storage and computational requirements, they cause various complications in working with real-time applications. At the same time, it provides real-time recognition in databases formed by devices designed for online image capture, but some features of the palm image may be lost. The results of this research aim to significantly contribute to the development of reliable, efficient, and versatile palm image recognition systems that can be widely used in various security applications.

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Published

2024-03-31

How to Cite

PALM IMAGE DATABASES AND THEIR COMPARATIVE ANALYSIS. (2024). Eurasian Journal of Academic Research, 4(3 Part 2), 180-189. https://in-academy.uz/index.php/EJAR/article/view/5238