International Journal on Science and Technology
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Volume 16 Issue 4
October-December 2025
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SMARTFORM: Intelligent OCR System for Digital Banking Automation
| Author(s) | Miss C Sona Vijayan, Dr. Madhumita K |
|---|---|
| Country | India |
| Abstract | This paper describes SMARTFORM, a web portal-based tool for automating bank form processing with Optical Character Recognition (OCR). The system includes a Flask backend that allows secure login/registration, digital form submission and automatic handwriting/print text extraction using the Mistral AI OCR API. Data is extracted, verified using a PIN based scheme before it is integrated to guarantee accuracy and security. We compare traditional OCR models like Tesseract and transformer-based models like Donut and LayoutLMv3 on structured and semi- structured documents. Performance is evaluated through Character Error Rate (CER), Word Error Rate (WER), F1-score, BLEU and qualitative visualization. Results show that while Tesseract's performance with pre-processing is good, transformer models are able to perform better context and entity recognition but are prone to overfitting. Overall, the trade-offs between classical and modern OCR are demonstrated with hybrid methods that incorporate adaptive pre- processing providing an optimal trade-off between accuracy, generalization, and computational efficiency for digital banking automation tasks. |
| Keywords | Optical Character Recognition, Digital Banking, SMARTFORM, Transformer-based OCR, Tesseract, Hybrid Approach, Automated Form Processing |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-05 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9038 |
| Short DOI | https://doi.org/g99qnb |
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IJSAT DOI prefix is
10.71097/IJSAT
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