Modern digital techniques have the potential to greatly simplify the analysis and visualization of geometric properties of historical maps. This paper first outlines the purpose and goals of an analysis of a historical map’s planimetric accuracy, and identifies possible sources for geometrical imprecision. It then treats important considerations that the map historian should keep in mind, when ...

Text extraction from natural scene images is an emerging field in computer graphics. Extracted text contains important information that can be used for various purpose like vehicle number plate detection to identify the vehicle, to provide information of surrounding to visually impaired persons, preservation of information of historical documents etc. Binarization is a key process in text extra...

In this paper we present an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them easily accessible through the Internet. Our new algorithm is based on two definitions of entropy: Shannon’s classical concept and a variation called Tsallis entropy. For historical documents, our method proved to be more...

Michael B. Kass INTRODUCTION Contracts are enforceable, right? Not always, at least not when it comes to non-compete agreements. Indeed, employers and their employees often have misconceptions about the enforceability of restrictive covenants. The employer is often convinced of its ability to enforce the agreement to prevent its employee from competing, while the employee often believes that th...

In this paper we present an approach for the automatic extraction of family relationships from a real-world collection of historical notary acts. We retrieve relationships such as husband wife, parent child, widow of, etc. We study two ways to deal with this problem. In our first approach, we identify all person names in a document, generate all potential candidate pairs of names and predict wh...

In this paper, we propose a novel holistic methodology for keyword search in historical typewritten documents combining synthetic data and user's feedback. The holistic approach treats the word as a single entity and entails the recognition of the whole word rather than of individual characters. Our aim is to search for keywords typed by the user in a large collection of digitized typewritten h...

Historical documents are mostly accessible to scholars specialized in the period in which the document originated. In order to increase their accessibility to a broader audience and help in the preservation of the cultural heritage, we propose a method to modernized these documents. This method is based in statistical machine translation, and aims at translating historical documents into a mode...

Purpose – The purpose of the paper is to explore why the entrepreneurial activities are agglomerative in a cluster and to investigate the government agencies’ functions in the industry cluster that can construct favourable environment for entrepreneurial development. Design/methodology/approach – The case study method is chosen to collect in-depth data to investigate the research domain, and th...

The objective of our work is the development of a natural language dialogue system for information retrieval with multimodal input and multimedia output. Overall, the system consists of three phases: input analysis, information and knowledge management and output generation. The dialogue system is designed for consulting old Mexican historical documents. In this paper we describe the designed a...

In this paper, we show that although minimum-variance hedging unambiguously reduces the standard deviation of portfolio returns, it tends to increase portfolio kurtosis and consequently the effectiveness of hedging in terms of a more general measure of risk such as VaR is uncertain. We compare the reduction in standard deviation with the reduction in 99% VaR for thirteen cross-hedged currency p...