[HTML][HTML] Historical document image binarization: A review
C Tensmeyer, T Martinez - SN Computer Science, 2020 - Springer
This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …
binarization with a focus on the contributions made in the last decade. After the introduction …
Writer identification using curvature-free features
S He, L Schomaker - Pattern Recognition, 2017 - Elsevier
Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …
widely studied in the literature. Previous works have shown that the joint feature distribution …
Document image binarization using local features and Gaussian mixture modeling
N Mitianoudis, N Papamarkos - Image and Vision Computing, 2015 - Elsevier
In this paper, we address the document image binarization problem with a three-stage
procedure. First, possible stains and general document background information are …
procedure. First, possible stains and general document background information are …
Image-based historical manuscript dating using contour and stroke fragments
S He, P Samara, J Burgers, L Schomaker - Pattern Recognition, 2016 - Elsevier
Historical manuscript dating has always been an important challenge for historians but since
countless manuscripts have become digitally available recently, the pattern recognition …
countless manuscripts have become digitally available recently, the pattern recognition …
Image bi-level thresholding based on gray level-local variance histogram
X Zheng, H Ye, Y Tang - Entropy, 2017 - mdpi.com
Thresholding is a popular method of image segmentation. Many thresholding methods
utilize only the gray level information of pixels in the image, which may lead to poor …
utilize only the gray level information of pixels in the image, which may lead to poor …
Offline text-independent writer identification using a codebook with structural features
BQ Ahmed, YF Hassan, AS Elsayed - Plos one, 2023 - journals.plos.org
Understanding handwritten documents is a vital and challenging problem that attracts many
researchers in the fields of forensic and authentication science. This paper presents an …
researchers in the fields of forensic and authentication science. This paper presents an …
Influence of color-to-gray conversion on the performance of document image binarization: Toward a novel optimization problem
This paper presents a novel preprocessing method of color-to-gray document image
conversion. In contrast to the conventional methods designed for natural images that aim to …
conversion. In contrast to the conventional methods designed for natural images that aim to …
Document image binarization via optimized hybrid thresholding
Document image binarization is a crucial step towards optical character recognition and
analysis. One common way to achieve image binarization is thresholding. Thresholding …
analysis. One common way to achieve image binarization is thresholding. Thresholding …
[HTML][HTML] Reconocimiento de caracteres mediante OCR (Optical Character Recognition)
GM Ángel, YYC Segura, G Burlak - Programación matemática y …, 2018 - progmat.uaem.mx
En este trabajo, se implementaron técnicas para el reconocimiento digital de caracteres,
utilizando la técnica OCR (Reconocimiento Óptico de Caracteres), que implementa métodos …
utilizando la técnica OCR (Reconocimiento Óptico de Caracteres), que implementa métodos …
[图书][B] Text detection in natural scenes and technical diagrams with convolutional feature learning and cascaded classification
S Zhu - 2016 - search.proquest.com
An enormous amount of digital images are being generated and stored every day.
Understanding text in these images is an important challenge with large impacts for …
Understanding text in these images is an important challenge with large impacts for …