Degraded historical document binarization: A review on issues, challenges, techniques, and future directions
In this era of digitization, most hardcopy documents are being transformed into digital
formats. In the process of transformation, large quantities of documents are stored and …
formats. In the process of transformation, large quantities of documents are stored and …
FEATURES OF HANDWRITING IMAGE PROCESSING AND ANALYSIS
M Dadakhanov - Потомки Аль-Фаргани, 2023 - al-fargoniy.uz
ОСОБЕННОСТИ ОБРАБОТКИ И АНАЛИЗА ИЗОБРАЖЕНИЙ РУКОПИСНОГО ВВОДА |
Потомки Аль-Фаргани Перейти к основному контенту Перейти к главному меню навигации …
Потомки Аль-Фаргани Перейти к основному контенту Перейти к главному меню навигации …
[HTML][HTML] Genetic algorithm and mathematical morphology based binarization method for strip steel defect image with non-uniform illumination
In order to precisely extract the image shape feature for the defect detection and
classification, the strip steel image needs to firstly be binarized effectively. In this paper, the …
classification, the strip steel image needs to firstly be binarized effectively. In this paper, the …
ISauvola: Improved Sauvola's algorithm for document image binarization
Binarization of historical documents is difficult and is still an open area of research. In this
paper, a new binarization technique for document images is presented. The proposed …
paper, a new binarization technique for document images is presented. The proposed …
[HTML][HTML] A new efficient binarization method: application to degraded historical document images
Binarization is an important step in reading text documents automatically through optical
character recognition. Old document images often suffer from degradations that make their …
character recognition. Old document images often suffer from degradations that make their …
Marginal Noise Reduction in Historical Handwritten Documents--A Survey
A Chakraborty, M Blumenstein - 2016 12th IAPR Workshop on …, 2016 - ieeexplore.ieee.org
This paper presents a survey on different approaches for removing the marginal noise from
document images, and anlaysing the research challenges of those methods relating to …
document images, and anlaysing the research challenges of those methods relating to …
An adaptive segmentation algorithm for degraded chinese rubbing image binarization based on background estimation
H Huang, ZK Huang, YL Ma, LY Hou - … 2018, Wuhan, China, August 15-18 …, 2018 - Springer
Image Segmentation plays an important role in image processing and analysis. In order to
preserve strokes of a Chinese character while enhancing character details for degraded …
preserve strokes of a Chinese character while enhancing character details for degraded …
Genetic algorithm based image binarization approach and its quantitative evaluation via pooling
H Hu, Y Liu, M Liu - MIPPR 2015: Multispectral Image …, 2015 - spiedigitallibrary.org
The binarized image is very critical to image visual feature extraction, especially shape
feature, and the image binarization approaches have been attracted more attentions in the …
feature, and the image binarization approaches have been attracted more attentions in the …
Binarization of document images with various object sizes
Z Hadjadj, A Meziane - 2017 1st International Workshop on …, 2017 - ieeexplore.ieee.org
There are a lot of document image binarization techniques that try to differentiate between
foreground and background but many of them fail to correctly detect all the text pixels …
foreground and background but many of them fail to correctly detect all the text pixels …
Degraded Document Image Binarization Using Active Contour Model
Document image binarization separates the foreground from background which is a very
crucial pre-processing step in OCR. Accuracy of binarization immensely influences the …
crucial pre-processing step in OCR. Accuracy of binarization immensely influences the …