石油和天然气行业的财务报表舞弊构成重大挑战，亟需先进的检测方法。本研究评估了整合两种方法的技术以提高扫描财务文档舞弊检测的有效性。该研究通过采用一种新颖的混合方法，克服了现有基于规则算法的局限性。该方法结合了一种加密技术，为文档图像生成独特的密码，从而可以通过密码比对来识别舞弊证据。

Financial-statement fraud in the oil and gas sector poses a significant challenge necessitating advanced detection methods. This study evaluates the effectiveness of integrating techniques from two approaches to enhance fraud detection in scanned financial documents. The research addresses limitations of existing rule-based algorithms by adopting a novel hybrid approach. The methodology incorporates an encryption technique to generate unique cryptography for document images, enabling fraud-evidence identification through cryptography comparisons.