Research on Intelligent Image Feature Accurate Recognition Technology

This study addresses the challenges in medical insurance claims, such as inconsistent image quality, diverse formats, and low recognition efficiency of medical documents. It proposes a solution based on intelligent image feature recognition technology. The study focuses on the core methodology, key technical indicators, and practical application outcomes of this technology. By designing four components—image preprocessing, document classification, OCR text recognition, and structural analysis—and utilizing deep learning algorithms and multimodal technologies, the system automates the extraction and verification of key texts, table structures, and anti-counterfeiting features of seals in medical invoices and diagnostic certificates. Experimental results show that This technology can support the scenarios of rapid settlement of outpatient expenses, intelligent audit of hospitalization expenses, and immediate settlement of medical treatment across regions, promote the transformation of medical insurance services to intelligence and precision, and provide key technical support for the construction of efficient medical insurance ecology.