Ancient horoscopic palm leaf binarization using A deep binarization model-RESNET

BN BJ, AS Nair - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Binarization of ancient documents is a challenging task. Nowadays lot of traditional
binarization algorithms exist with good accuracy but those algorithms cannot remove all kind …

A modified deep semantic binarization network for degradation removal in palm leaf manuscripts

NS Rani - Multimedia Tools and Applications, 2024 - Springer
Palm leaves are the earliest forms of documentation for literature, showcasing rich traditions,
philosophical insights, and scientific traditions in areas such as mathematics, medicine …

Age-type identification and recognition of historical kannada handwritten document images using HOG feature descriptors

P Bannigidad, C Gudada - … and Signal Processing: Proceedings of ICCASP …, 2019 - Springer
Most of the historical Kannada handwritten documents are preserved in the manuscript
preservation centre and archaeological departments. The historical Kannada handwritten …

A hybrid Ostu based niblack binarization for degraded image documents

P Ranjitha, TD Shreelakshmi - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Many Historical Documents have been preserved by libraries to protect these documents
and to recover knowledge. These old documents suffer from different types of degradations …

Deformity removal from handwritten text documents using variable cycle GAN

S Nigam, AP Behera, S Verma… - International Journal on …, 2024 - Springer
Text recognition systems typically work well for printed documents but struggle with
handwritten documents due to different writing styles, background complexities, added noise …

[HTML][HTML] Adaptive shock-diffusion model for restoration of degraded document images

J Guo, C He - Applied Mathematical Modelling, 2020 - Elsevier
This paper presents an adaptive enhancement model with selective smoothing for
restoration of degraded document images with blur, noise and bleed-through, which …

Historical Kannada handwritten character recognition using machine learning algorithm

P Bannigidad, C Gudada - … of the 12th International Conference on Soft …, 2021 - Springer
A character is the smallest unit in every line of a script, the development of the script
stretches over millions of inscriptions in Kannada, and these inscriptions play a vital role in …

Identification and classification of historical Kannada handwritten document images using LBP features

P Bannigidad, C Gudada - International Journal of …, 2018 - inderscienceonline.com
Digitisation process is very much essential for historical handwritten documents due to
degraded qualities in the manuscript such as ink bleed, arbitrary geometric distortions …

Restoration of ancient Kannada handwritten palm leaf manuscripts using image enhancement techniques

P Bannigidad, SP Sajjan - … Conference on Big Data Innovation for …, 2022 - Springer
In the recent days, the research area of handwritten character recognition has got much
attention toward ancient inscriptions, since they contain lots of unfolding knowledge in the …

Offline writer identification using Latin and Arabic scripts: a comprehensive literature review and perspectives

Y Hannad, A Semma - International Journal of Signal and …, 2024 - inderscienceonline.com
Handwriting-based writer identification has been recognised as a reliable aspect of
behavioral biometrics. This paper provides a comprehensive review of established offline …