The second study explores the use of a Generative Adversarial Network (GAN) to improve the accuracy of text recognition systems for handwritten documents containing deformities such as strike-throughs and underlines. The researchers trained their model to remove strike-throughs using a deep learning ...
Image analysis concerns problems such as text line detection, text line extraction, noise removal, u... Gyeonghwan Kim\t - Advances In Handwriting Recognition 被引量: 110发表: 0年 Generalizing edit distance to incorporate domain information: Handwritten text recognition as a case study In this ...
This paper presents a statistical approach to the preprocessing of degraded handwritten forms including the steps of binarization and form line removal. Th... H Cao - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 58发表: 2009年 Learning a classifier with very few exampl...
Proces of recognition is divided into 4 steps. The initial input is a photo of page with text. Detection of page and removal of background Detection and separation of words Normalization of words Separation and recognition of characters (recognition of words) ...
yeungchenwa / Recommendations-Diffusion-Text-Image Star 161 Code Issues Pull requests A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, ...
In this survey, as to resolve this issue in Kannada we investigate the various work done in the field of Recognition of strike-out text and removal of strike done in various other languages like English, Bengali, Devanagari etc. This survey is of 3 sections. Section 1 is about introduction...
Automatic removal of crossed-out handwritten text and the effect on writer verification and identification A method is presented for automatically identifying and removing crossed-out text in off-line handwriting. It classifies connected components by simply com... A Brink,HVD Klauw,L Schomaker - Co...
One contribution is a new binary method, i.e., the shadow removal method, which is based on the improved Bernsen algorithm combined with the Gaussian filter. Our second contribution is a character recognition algorithm known as support vector machine (SVM) integration. In SVM integration, ...
The global Otsu binarization followed by post-processing to discard very small components leads to the removal of most of the Experimental results For the experiments we used the handwritten images of the DIBCO series which are publicly available, Gatos et al., 2011, Pratikakis et al., 2010, ...
However, practically, it is impossible to have such type of de-skewed handwritten text words. To overcome the said problems, two alternatives might be taken: the first one is to rotate the input word image to make its baseline parallel to the X-axis then the slant angle estimation process ...