Scholarlink

This paper presents the development of an automated system for verifying bank transfer slips using Optical Character Recognition (OCR) technology. The purpose is to enhance efficiency and accuracy for small businesses, non-profit organizations, and individual users. The system integrates OCR with human verification to extract, validate, and record key financial data from diverse and often low-quality images of mobile banking transfer slips. A preliminary testing on 84 real transfer slips, the system achieved an accuracy of 95.24% for slip recognition and 99.23% for monetary values. The results highlight the potential of combining automation and human oversight for reliable financial data processing.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Development of an OCR-Based System for Reducing Manual Workload and Verification Time in Mobile Banking Slip Processing

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Dhammanit Buddhakulsomsiri,
  • Laddawan Suwannachote,
  • Parthana Parthanadee

摘要

This paper presents the development of an automated system for verifying bank transfer slips using Optical Character Recognition (OCR) technology. The purpose is to enhance efficiency and accuracy for small businesses, non-profit organizations, and individual users. The system integrates OCR with human verification to extract, validate, and record key financial data from diverse and often low-quality images of mobile banking transfer slips. A preliminary testing on 84 real transfer slips, the system achieved an accuracy of 95.24% for slip recognition and 99.23% for monetary values. The results highlight the potential of combining automation and human oversight for reliable financial data processing.