In-depth analysis of financial market based on iris recognition algorithm of MATLAB GUI
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ORIGINAL ARTICLE
In-depth analysis of financial market based on iris recognition algorithm of MATLAB GUI Meng Meng1 • Jiuhong Yu2 Received: 26 May 2020 / Accepted: 4 September 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract When analyzing financial markets, it needs to mine effective information from massive data. However, it is difficult to obtain information from image information. In order to improve the efficiency of financial market analysis, this paper applies the iris recognition algorithm to financial image data analysis and proposes a feature extraction and recognition algorithm based on morphological skeleton and Gabor filter. The algorithm uses a multi-frequency, multi-directional 2D Gabor filter to extract local features and combines the extracted feature codes with the iris recognition method to complete the identification of intra-class irises and inter-class irises. In addition, in order to verify the effect of the algorithm, this study uses MatalabGUI as a platform to build an experimental model. In summary, in this study, financial images are used as research images for identification and analysis. The research results show that the algorithm proposed in this paper has a certain effect. Keywords MatalabGUI Iris recognition Financial market Security analysis In-depth analysis
1 Introduction In the history of human development, with the emergence of the first loan, finance was born. To this day, finance has formed two branches, macro-finance and micro-finance. The central question that finance needs to address is how to optimize the allocation of resources across time through capital markets in an uncertain environment. Finance is a rapidly developing discipline with practical applications, and the role of financial engineering in the development of financial markets has become increasingly important in recent years. With the rapid development of economic globalization, we have entered a new era of data informatization. In the face of large amounts of data from various industries, especially from various financial markets, how to mine the information that is valuable for management decisions and how to apply this information & Jiuhong Yu [email protected] 1
School of Finance, Inner Mongolia University of Finance and Economics, Inner Mongolia Hohhot 010070, China
2
Center for Financial Engineering, Soochow University, Suzhou 215006, China
to obtain more investment returns while avoiding risky accidents, provides another way to present new statistical methods for comparing theoretical and practical data. The application of modern statistical methods has become an important tool widely recognized by society. In the era of rich financial Internet big data, the lack of statistical ideas and methods has made it difficult to make scientific investment and management, and the wide application of information technology has made the application of statistics an art. Mathematical finance is a new subject produced by the combinati
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