Open Access
| Issue |
ITM Web Conf.
Volume 85, 2026
Intelligent Systems for a Sustainable Future (ISSF 2026)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 6 | |
| Section | AI for Healthcare, Agriculture, Smart Society & Computer Vision | |
| DOI | https://doi.org/10.1051/itmconf/20268501006 | |
| Published online | 09 April 2026 | |
- Pattnaik, Tapaswini et al. “Multiple Linear Regression based Illumination Normalization for Non-uniform Light Image Thresholding.” e-Prime - Advances in Electrical Engineering, Electronics and Energy (2023): n. pag. DOI: https://doi.org/10.1016/j.prime.2023.100411 [Google Scholar]
- J. Alexander, T. J., Kumar, S. S., & Vedanarayanan, V. (2022). "Design and Analysis of a novel 2D Edge Preservation Adaptive Wavelet Anisotropic Bilateral Filter for Image Restoration of Palm Leaf Manuscripts". International Journal of Engineering Trends and Technology, 70(1),348–354. DOI: https://doi.org/10.14445/22315381/DETT-V70I1P238 [Google Scholar]
- Maheswari, S.U., Maheswari, P.U. & Aakaash, G.R.S. "An intelligent character segmentation system coupled with deep learning based recognition for the digitization of ancient Tamil palm leaf manuscripts." Herit Sci 12, 342 (2024). https://doi.org/10.1186/s40494-024-01438-4 [Google Scholar]
- I. Yuadi, I., Yudistira, N., Habiddin, & Nisa, K. (AcIn press). A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement. IEEE Access 10.1109/ACCESS.2025.3545455 [Google Scholar]
- Shobha Rani, N., Bipin Nair, B. J., Chandrajith, M., Hemantha Kumar, G., & Fortuny, J. (2022). Restoration of deteriorated text sections in ancient document images using a tri-level semi-adaptive thresholding technique. Automatika, 63(2), 378–398. https://doi.org/10.1080/00051144.2022.2042462C [CrossRef] [Google Scholar]
- Periyasamy, Hariharan & Natarajan, Sasikaladevi & Murugappan, Prof. (2025). "ResTANet: A Deep Residual Neural Architecture for Tamil Handwritten Character Recognition." IEEE Access. PP. 1–1. DOI: 10.1109/ACCESS.2025.3632872 [Google Scholar]
- Abdul Rehman, Nehal & Haroon, Farah. (2023). "Adaptive Gaussian and Double Thresholding for Contour Detection and Character Recognition of Two-Dimensional Area Using Computer Vision" Engineering Proceedings. 32. https://doi.org/10.3390/engproc2023032023. [Google Scholar]
- D. Unnikrishnan and D. Sudarsan, "Absolute noise removal pipeline for degraded palm leaf manuscripts," Journal of Cultural Heritage Informatics, 2025. DOI: https://doi.org/10.56042/iitk.v24i6.16782 [Google Scholar]
- S. Goyal et al., " Noise Resilient Thresholding Based on Fuzzy Logic and Non-linear Filtering," Signal Processing: Image Communication, vol. 95, 2021. https://doi.org/10.1007/978-981-15-9492-27 [Google Scholar]
- E. Paulus et al., "Binarization Strategy Using Multiple Convolutional Autoencoder Network for Old Sundanese Manuscript Images https://doi.org/10.1007/978-3-030-86159-910 [Google Scholar]
- https://commons.m.wikimedia.org/wiki/File:Apast ambins Mantrapatha. Sanskrit. Grantha script. Whish manuscript collection, acquired 1822 CE Documentation Referred [Google Scholar]
- https://scikit-image.org/docs/0.25.x/api/skimage.metrics.html [Google Scholar]
- https://docs.opencv.org/4.x/d7/d4d/tutorial_py_thresholding.html#autotoc_md1448 [Google Scholar]
- https://scikit-image.org/docs/stable/auto_examples/segmentation/plot_niblack_sauvola.html [Google Scholar]
- Niblack, W (1986). An introduction to Digital Image Processing. Prentice-Hall. [Google Scholar]
- J. Sauvola and M. Pietikainen, "Adaptive document image binarization," Pattern Recognition 33(2). pp. 225–236. 2000. DOI:10.1016/S0031-3203(99)00055-2 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

