Authors - Kuljira S. Nuankaew, Kaewpanya S. Nuankaew, Wongpanya S. Nuankaew, Keingkrai Buakeaw, Thapanapong Sararat, Pratya Nuankaew Abstract - This research presents the development of an Explainable Intelligent Document Recognition system and a decision support system for assessing tax deductions in Thailand. The system uses image processing and data extraction technologies to analyze photographic documents and PDF files. It incorporates image quality enhancement, text recognition, key information extraction, and tax condition assessment, along with a rationale to enhance transparency in decision-making. Experimental results demonstrate efficient and accurate data recognition and extraction, and the system can handle diverse document types. Furthermore, a web-based prototype evaluation by 30 users showed high satisfaction, particularly regarding understanding the results and explanations. However, the system exhibits limitations with low-quality and complex documents. This research highlights the potential for applying such technology to taxation and for future expansion to improve flexibility and efficiency.
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