Mass digitization of document collections with further processing and semantic annotation is an increasing activity among libraries and archives at large for preservation, browsing and navigation, and search purposes. In this paper we propose a software architecture for the process of converting high volumes of document collections to semantically annotated digital libraries. The proposed archi...

The historical documents are valuable cultural heritages and sources for the study of history, social aspect and life at that time. The digitalization of historical documents aims to provide instant access to the archives for the researchers and the public, who had been endowed with limited chance due to maintenance reasons. However, most of these documents are not only written by hand in ancie...

Cultural heritage data is always associated with inaccurate information and different types of ambiguities. For instance, names of persons, occupations or places mentioned in historical documents are not standardized and contain numerous variations. This article examines in detail various existing similarity functions and proposes a hybrid technique for the following task: among the list of pos...

In this paper, we will present a mathematical analysis of the transition proportion for the normal threshold (NorT) based on the transition method. The transition proportion is a parameter of NorT which plays an important role in the theoretical development of NorT. We will study the mathematical forms of the quadratic equation from which NorT is computed. Through this analysis, we will describ...

In this paper, we investigate the use of Convolutional Neural Networks for counting the number of records in historical handwritten documents. With this work we demonstrate that training the networks only with synthetic images allows us to perform a near perfect evaluation of the number of records printed on historical documents. The experiments have been performed on a benchmark dataset compos...

homosexuality across time and place. The bulk of the book consists of 200 pages of alphabetical entries that range from key figures (Radclyffe Hall, Michel Foucault), organizations (Mattachine Society, Log Cabin Republicans), and moments (Stone-wall, the passage of Don't Ask, Don't Tell) in LGBT history, as well as more general references tied by Pickett to the subject. For example, Pickett inc...

FamilySearch captures millions of digital images annually using digital cameras at sites throughout the world. The top image quality problem encountered during this image capture process is blurriness due to an out of focus camera and/or motion during capture. Several automatic measurements of digital image blur exist, but have been found to not be very accurate at correctly classifying blurry ...

Recently, texture-based features have been used for digitized historical document image segmentation. It has been proven that these methods work effectively with no a priori knowledge. Moreover, it has been shown that they are robust when they are applied on degraded documents under different noise levels and kinds. In this paper an approach of evaluating CIFED 2014, pp. 41–56, Nancy, 18-21 mar...

Binary image is the essential format for document image processing, and the operation of the subsequent steps depends on the quality of the binarization process. The objective of this research is to propose a new binarization method based on adaptive multilayer-information for restoration of degraded historical document images. This paper focuses on degraded Thai historical document images, whi...

Introduction A backtest is a historical simulation of an algorithmic investment strategy. Among other things, it computes the series of profits and losses that such strategy would have generated had that algorithm been run over that time period. Popular performance statistics, such as the Sharpe ratio or the Information ratio, are used to quantify the backtested strategy’s return on risk. Inves...