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This paper introduces a new way for text-line extraction by integrating deep-learning based pre-classification and state-of-the-art segmentation methods. Text-line extraction in complex handwritten documents poses a significant challenge,…

Computer Vision and Pattern Recognition · Computer Science 2019-07-02 Michele Alberti , Lars Vögtlin , Vinaychandran Pondenkandath , Mathias Seuret , Rolf Ingold , Marcus Liwicki

The digitisation of historical documents has provided historians with unprecedented research opportunities. Yet, the conventional approach to analysing historical documents involves converting them from images to text using OCR, a process…

Computation and Language · Computer Science 2023-11-07 Nadav Borenstein , Phillip Rust , Desmond Elliott , Isabelle Augenstein

Classification is a common AI problem, and vector search is a typical solution. This transforms a given body of text into a numerical representation, known as an embedding, and modern improvements to vector search focus on optimising speed…

Information Retrieval · Computer Science 2025-06-04 Lee Harris

The present work proposes the development of a novel method to provide descriptors for colored texture images. The method consists in two steps. In the first, we apply a linear transform in the color space of the image aiming at…

Data Analysis, Statistics and Probability · Physics 2012-02-21 João Batista Florindo , Odemir Martinez Bruno

Due to the increasing availability and functionality of image editing tools, many forensic techniques such as digital image authentication, source identification and tamper detection are important for forensic image analysis. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2020-02-07 Ruiting Shao , Edward J. Delp

Recent advancements in Digital Document Restoration (DDR) have led to significant breakthroughs in analyzing highly damaged written artifacts. Among those, there has been an increasing interest in applying Artificial Intelligence techniques…

Computer Vision and Pattern Recognition · Computer Science 2023-08-10 Fabio Quattrini , Vittorio Pippi , Silvia Cascianelli , Rita Cucchiara

Authentication and attribution of works on paper remain persistent challenges in cultural heritage, particularly when the available reference corpus is small and stylistic cues are primarily expressed through line and limited tonal…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Hassan Ugail , Jan Ritch-Frel , Irina Matuzava

Image restoration is very crucial computer vision task. This paper describes two novel methods for the restoration of old degraded handwritten documents using deep neural network. In addition to that, a small-scale dataset of 26 heritage…

Computer Vision and Pattern Recognition · Computer Science 2020-01-27 Mayank Wadhwani , Debapriya Kundu , Deepayan Chakraborty , Bhabatosh Chanda

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet and alike. They are the basic tool in image compression, in image restoration, in image re-sampling…

Computer Vision and Pattern Recognition · Computer Science 2014-08-28 Leonid Yaroslavsky

Medieval paper, a handmade product, is made with a mould which leaves an indelible imprint on the sheet of paper. This imprint includes chain lines, laid lines and watermarks which are often visible on the sheet. Extracting these features…

Computer Vision and Pattern Recognition · Computer Science 2023-03-08 Tamara G. Grossmann , Carola-Bibiane Schönlieb , Orietta Da Rold

Cuneiform tablets, emerging in ancient Mesopotamia around the late fourth millennium BCE, represent one of humanity's earliest writing systems. Characterized by wedge-shaped marks on clay tablets, these artifacts provided insight into…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Danielle Kapon , Michael Fire , Shai Gordin

Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification learning task and apply a novel Fully Convolutional Network…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Chris Tensmeyer , Tony Martinez

By applying artificial intelligence to image editing technology, it has become possible to generate high-quality images with minimal traces of manipulation. However, since these technologies can be misused for criminal activities such as…

Multimedia · Computer Science 2023-09-01 Jiwon Lee , Seungjae Jeon , Yunji Park , Jaehyun Chung , Doowon Jeong

Pattern spotting consists of searching in a collection of historical document images for occurrences of a graphical object using an image query. Contrary to object detection, no prior information nor predefined class is given about the…

Computer Vision and Pattern Recognition · Computer Science 2019-06-21 Ignacio Úbeda , Jose M. Saavedra , Stéphane Nicolas , Caroline Petitjean , Laurent Heutte

High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures. Despite the various techniques for analysis, a significant diagnostic gap remained in the range of available…

Computer Vision and Pattern Recognition · Computer Science 2017-12-12 AmirAbbas Davari , Armin Häberle , Vincent Christlein , Andreas Maier , Christian Riess

Vast volumes of printed documents continue to be used for various important as well as trivial applications. Such applications often rely on the information provided in the form of printed text documents whose integrity verification poses a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Sharad Joshi , Suraj Saxena , Nitin Khanna

A new method of quantum state tomography for quantum information processing is described. The method based on two-dimensional Fourier transform technique involves detection of all the off-diagonal elements of the density matrix in a…

Quantum Physics · Physics 2009-11-07 Ranabir Das , T. S. Mahesh , Anil Kumar

Forensic handwriting examination is a branch of Forensic Science that aims to examine handwritten documents in order to properly define or hypothesize the manuscript's author. These analysis involves comparing two or more (digitized)…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Eleonora Breci , Luca Guarnera , Sebastiano Battiato

In this work the methods of comparison of digitized copies of administrative documents were considered. This problem arises, for example, when comparing two copies of documents signed by two parties in order to find possible modifications…

Computer Vision and Pattern Recognition · Computer Science 2020-01-30 Elena Andreeva , Vladimir V. Arlazarov , Oleg Slavin , Aleksey Mishev

The discovery of the Dead Sea Scrolls over 60 years ago is widely regarded as one of the greatest archaeological breakthroughs in modern history. Recent study of the scrolls presents ongoing computational challenges, including determining…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Berat Kurar-Barakat , Nachum Dershowitz