A Modular Privacy-Preserving Framework for Travel Document Segmentation and Information Extraction Using Synthetic Data
References
- Machine Readable Travel Documents. Doc Series. Doc 930. International Civil Aviation Organization. https://www.icao.int/publications/doc-series/doc-9303
- Liu, Y., H. Joren, O. Gupta, D. Raviv. MRZ Code Extraction from Visa and Passport Documents Using Convolutional Neural Networks. – International Journal on Document Analysis and Recognition, Vol. 25, 2022, No 1, pp. 29-39.
- Abdallah, A., D. Eberharter, Z. Pfister, A. Jatowt. A Survey of Recent Approaches to Form Understanding in Scanned Documents. – Artificial Intelligence Review, Vol. 57, 2024, No 12.
- Ghai, D., S. Saxena, G. Dhingra, S. L. Tripathi. A Comprehensive Review on Performance-Based Comparative Analysis, Categorization, Classification, and Mapping of Text Extraction System Techniques for Images. – Multimedia Tools and Applications, Vol. 84, 2025, No 5, pp. 2327-2484.
- Boned, C., et al. Synthetic Dataset of ID and Travel Documents. – Scientific Data, Vol. 11, 2024, No 1.
- Man, K., J. Chahl. A Review of Synthetic Image Data and Its Use in Computer Vision. – Journal of Imaging, Vol. 8, 2022, No 11.
- Mumuni, A., F. Mumuni, N. K. Gerrar. A Survey of Synthetic Data Augmentation Methods in Machine Vision. – Machine Intelligence Research, Vol. 21, 2024, No 5, 831-869.
- Klink, S., T. Kieninger. Rule-Based Document Structure Understanding with a Fuzzy Combination of Layout and Textual Features. – International Journal on Document Analysis and Recognition Article, Vol. 4, 2001, pp. 18-26.
- Veerasekar, P. A., M. M. R. Sindha, U. M. Pandiyan, V. Vijayaraja. A Transfer Learning Approach for College ID Card Detection. – In: Proc. of AIP Conf., Vol. 3258, 2025, No 1.
- Gayer, A. V., Y. S. Chernyshova, V. V. Arlazarov. Recognition of Machine-Readable Zone in Identity Documents: A Review. – IEEE Access, 2025.
- Bulatov, K. B., P. V. Bezmaternykh, D. P. Nikolaev, V. V. Arlazarov. Towards a Unified Framework for Identity Documents Analysis and Recognition. – Computer Optics, Vol. 46, 2022, No 3, pp. 436-454.
- Xu, X., et. al. Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN. – Sensors, Vol. 22, 2022.
- Bharati, P., A. Pramanik. Deep Learning Techniques – R-CNN to Mask R-CNN: A Survey. – In: A. Das, J. Nayak, B. Naik, S. Pati, D. Pelusi, Eds. Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing. Vol. 999. 2020.
- Kim, G., et al. OCR-Free Document Understanding Transformer. – In: S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, T. Hassner, Eds. Computer Vision – ECCV, Lecture Notes in Computer Science. 2022. Cham, Springer, pp. 498-517, 13688.
- Padmaja, D. L., S. N. Prasad, G. S. Harsha, G. S. Deepak. A Comparative Analysis of Tesseract OCR. – In: Proc. of International Conference on Technology Advances for Green Solutions and Sustainable Development: ICT4GS-2024, Springer, Nature, 2025.
- Du, Y., et. al. PP-OCR: A Practical Ultra-Lightweight OCR System. – arXiv Preprint, 2020, arXiv:2009.09941.
- Cui, C., et. al. PaddleOCR 3.0 Technical Report. – arXiv Preprint, 2025, arXiv:2507.05595.
- Champa, H . N . Scene Text Detection and Recognition Using EasyOCR: Performance Analysis and Evaluation. – In: Proc. of 2nd IEEE Asian Conference On Intelligent Technologies (ACOIT’25), 2025.
- Raja Shree, S., C. Nuthanakaluv, L. Sharmila, J. S. Duela, N. Muneera. Extraction of Data from Documents Using AWS Textract. – In: Proc. of AIP Conference, Vol. 3257, 2025, No 1.
- Ramachandrula, P., J. Kunisetty, S. Subramanian, S. Palaniswamy, P. B. Pati. A Novel System for Authentication of Identity Cards Using YOLOv5 and YOLOv8. – In: Advances in Data Science and Artificial Intelligence, Lecture Notes in Electrical Engineering. Vol. 1399. 2025, Singapore, Springer.
- Ranjan, S., K. Manoj. Comparing YOLOv11 and YOLOv8 for Instance Segmentation of Occluded and Non-Occluded Immature Green Fruits in a Complex Orchard Environment. – arXiv Preprint, 2025, arXiv:2410.19869.
- Khanam, R., M. Hussain. YOLOv11: An Overview of the Key Architectural Enhancements. – arXiv Preprint, 2024, arXiv:2410.17725.
- Matalov, D., V. Arlazarov. Model-Driven Approach to Creating ID Document Templates for Localization and Classification Based on a Single Image – Computer, Vol. 49, 2026, No 6.
- Arlazarov, V., et. al. Mobile ID Recognition: Coarse-to-Fine Approach. – In: Image Analysis and Pattern Recognition: State of the Art in the Russian Federation, 2025, pp. 827-914.
- Skoryukina, N., D. Tropin, J. Shemiakina, V. Arlazarov. Document Localization and Classification as Stages of a Document Recognition System. – Pattern Recognition and Image Analysis, Vol. 33, 2023, No 4, pp. 699-716.
- Fan, G. DocPINN: A Neural PDE-Based Framework for Document Image Dewarping. – In: Proc. of International Conference on Document Analysis and Recognition, Cham, Springer Nature Switzerland, 2025, pp. 382-397.
- Arlazarov, V. V., K. Bulatov, T. Chernov, V. L. Arlazarov. MIDV-500: A Dataset for Identity Document Analysis and Recognition on Mobile Devices in a Video Stream. – Computer Optics, Vol. 43, 2019, No 5, pp. 818-824.
- Bulatov, K., et. al. MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis. – Computer Optics, Vol. 46, 2022, No 2, pp. 252-270. DOI: 10.18287/2412-6179-CO-1006.
- Fernandes, L., et. al. BRIDP: Dataset and Validation Method for Brazilian Identity Document Parsing. – In: Proc. of International Conference on Intelligent Systems Design and Applications, Cham, Switzerland, Springer Nature, 2023, pp. 445-454.
- Zeng, Q., J. E.Tapia, I.García, J. M. Espín, C. Busch. ID-Card Synthetic Generation: Toward a Simulated Bona Fide Dataset. – arXiv Preprint, 2025, arXiv:2508.13078.
- Ultralytics YOLO. https://www.ultralytics.com
- Meng, L. K., H. H. Yi, N. B. Wei, L. J. Xin, Z. A. Abdul Salam. A Machine Learning Approach for a Face Mask Detection System with AdamW Optimizer. – Journal of Advanced Trends in Information Technology, Vol. 7, 2024, No 1.
Language: English
Page range: 79 - 96
Submitted on: Apr 1, 2026
Accepted on: May 10, 2026
Published on: Jun 13, 2026
In partnership with: Paradigm Publishing Services
Keywords:
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© 2026 Plamen Nakov, Petar Petrov, Georgi Kotov, Milena Lazarova, Ognyan Nakov, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.