Research on the Innovation of Enterprise Accounting Management under the Financial Shared Service Model

Abstract

Financial shared services not only improve operational efficiency and reduce management costs but also realize auxiliary data analysis and management decision-making work, creating more value for enterprises. This paper builds a financial shared service system based on image recognition and extraction of financial bills to realize the functions of financial content recognition, voucher generation, application recognition, and administrative approval. We perform pre-processing tasks like binarization and edge detection on the financial bill image to identify the form lines. We then use the Hough transform to solve the function of the form lines, rotate, and correct the tilt angle. The form structure and financial text detection method are created based on the accurate form line detection. Analysis of two companies using the system of this paper reveals that the number of entered field information can be reduced by 91.48% of the entry workload after optimizing the system of this paper. The economic efficiency of labor costs can be significantly improved by reducing the time spent by reimbursement personnel in the reimbursement process by approximately 4,400 hours per month. By using the system in this paper, a new document can be created and submitted for approval in just 11 minutes, which reduces the document time by 86.25%. The constructed scores for the four first-level indicators, A, B, C, and D, range from 80 to 90 points, resulting in a total score of 87.417 points for the comprehensive evaluation. The construction of the financial shared service system in this paper consolidates the enterprise financial business into a centralized processing system, thereby enhancing the quality and efficiency of enterprise accounting management.

Keywords

• image binarization
• edge detection
• hough transform
• text detection
• accounting management
• 00a71