The system is developed for detecting text lines in complex scenarios. It is not tuned to assign foreground pixels to detected text lines. Thus, superior ...
This work proposes a binarization-free system which employs a newly developed clustering approach based on so-called 'superpixels', and demonstrates that ...
Thus, superior performance is achieved for the historical datasets for which no pixel hit accuracy of 95% is required. Remarkably, for the dataset of the ICDAR ...
Request PDF | On Nov 1, 2017, Tobias Gruuening and others published A Robust and Binarization-Free Approach for Text Line Detection in Historical Documents ...
Mar 24, 2023 · Bibliographic details on A Robust and Binarization-Free Approach for Text Line Detection in Historical Documents.
The proposed technique consists of three steps: preprocessing, detecting of potential text lines and eliminating the false ones. The first step covers the image ...
The robust binarization algorithm was applied, based on the Gaussian filtering and tackles the non-uniform luminance, and the block-based Hough transform ...
Apr 4, 2023 · This is the Tensorflow code corresponding to A Two-Stage Method for Text Line Detection in Historical Documents .
In this paper, we present a novel binarization-free line segmentation method that is robust to noise and copes with overlapping and touching text lines.
Missing: Detection | Show results with:Detection
Mar 23, 2022 · In this paper, we address the limitations that currently prevent people from building line segmentation models with a high generalization capacity.
Missing: Binarization- Free