We present a fully trainable solution for binarization of degraded document images using extremely randomized trees. Unlike previous attempts that often use ...

May 4, 2015 · Abstract:In this paper we present a fully trainable binarization solution for degraded document images. Unlike previous attempts that often ...

ABSTRACT. We present a fully trainable solution for binarization of de- graded document images using extremely randomized trees.

Jan 22, 2024 · Deep learning techniques are able to generate binarized versions of the images by learning context-dependent features that are less error-prone ...

Document image binarization is one important pre-processing step, especially for data analysis. Extraction of text from images and its recognition may be ...

Mar 11, 2023 · Binarization is a common technique used in machine learning and image processing for converting grayscale or color images into binary images.

Jan 22, 2024 · This paper reviews the main binarization techniques, including both traditional algorithms and deep learning-based algorithms. We also summarize ...

Document image binarization methods can be broadly divided into two categories: traditional threshold methods and deep learning methods. Among them, traditional ...

Jun 27, 2023 · This paper presents an experimental study of alternatives to prevent catastrophic forgetting in a continuous learning scenario for document binarization.

The aim of this paper is to provide comprehensive review methods in order to binary document images in the damaging background.