2021, Vol. 2, Issue 1, Part A
Image recognition in financial sector: Present and futuristic machine learning developments
Author(s): Anush K
Abstract: Image recognition in the financial sector is a popular and upcoming system which has machine learning and theory of computation as its foundation. It is a process by which images and other pictorial data are collected, organized, and used according to the requirements of the user. In the financial sector it is used as a tool of identity verification, information retrieval security systems and more. The main branch cited in this paper regarding this process is machine learning. This is a study of algorithms of a system used to learn a trend in the data by experience and using it to make future developments. This knowledge along with computational theories has been already used to make numerous advancements in this field at present. In this paper, first, we explain about the existing methods of this process in detail. Since this technology has just started to attract attention in the sector, it still has a lot of scope for upgrades that are yet to be learnt and implemented. These future implications and potentials of the process will also be pointed out in this paper. As a conclusion to this paper, results of existing and futuristic enhancements of image recognition will be discussed with appropriate citations for technical issues and their viable solutions.
Pages: 71-76 | Views: 432 | Downloads: 146
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How to cite this article:
Anush K. Image recognition in financial sector: Present and futuristic machine learning developments. Int J Res Circuits Devices Syst 2021;2(1):71-76.