Image Processing Applications in Smart Contracts: Automated Financial Transaction Verification

Abstract

With the widespread adoption of smart contracts in automated financial transactions, the accurate and efficient processing of image data related to financial transactions has become a critical challenge.The successful execution of smart contracts relies on the precise verification of transaction voucher images, yet existing image processing technologies still face limitations in dealing with background complexity, noise interference, and text extraction accuracy.To address these issues, this study proposes a comprehensive image processing approach aimed at enhancing the automation of financial transaction verification.The research focuses on four key areas: separation of table lines and text regions in images, application of Sauvola local adaptive binarization, table detection and reconstruction, and text extraction and fracture restoration techniques.Through these efforts, the study aims to provide more efficient and reliable technical support for financial transaction verification in smart contracts, thereby advancing the development of smart contract technologies.