Design of Computer Economic Audit System and Intelligent Language Implementation Based on SURF Algorithm

Abstract

Based on the SURF algorithm, the PROSAC (Progressive Sample Consensus) algorithm is first used to delete a large number of matching points to improve the accuracy of remote sensing image registration and to improve the speed of the SURF algorithm. Finally, PROSAC geometric verification is used in the study area to achieve accurate image stitching. In the field of computer economic auditing, there is a serious disconnect between theory and practice. As the company’s electronic data becomes more and more abundant, the method of determining its authenticity has become an important issue that auditors need to solve immediately, and special research on the theory of data reliability is needed in the field of computer economic auditing. In this article, we will first introduce the background and practical significance of project development, explain system-related development technology, conduct system analysis and system design of the project, and discuss the effectiveness and economic benefits of project development technology. Detailed analysis and description of system design include system function module processing and system database design. The innovation of this paper is that the system can meet the actual financial and auditing needs of very professional enterprises. In addition, the work documents required for the audit are automatically generated according to the work requirements, which can completely clarify the responsibilities of each department and comprehensively improve the audit efficiency. At the same time, the entire system is safe and orderly, which can ensure the normal operation of the operation. The purpose of this article is to explore database-based natural language query technology. First, after introducing the database intelligent language, we will study the Chinese word segmentation and part-of-speech tagging algorithm based on HMM to explain the details of the continuous field matching algorithm.