Design considerations for a large-scale image-based text search engine in historical manuscript collections

Author:

Schomaker Lambert1

Affiliation:

1. Faculty of Mathematics and Natural Sciences, University of Groningen, Nijenborgh 9, NL-9747 AG Groningen, The Netherlands

Abstract

Abstract This article gives an overview of design considerations for a handwriting search engine based on pattern recognition and high-performance computing, “Monk”. In order to satisfy multiple and often conflicting technological requirements, an architecture is used which heavily relies on high-performance computing, interactivity, and a Posix file-access model for the scientific programmers. The resulting system is able to handle billions of image files, in the order of petabytes of storage capacity, with a single mount point. Monk is operational since the year 2009.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DocVisor: A Multi-purpose Web-Based Interactive Visualizer for Document Image Analytics;Document Analysis and Recognition – ICDAR 2021 Workshops;2021

2. Semantic annotation of natural history collections;Journal of Web Semantics;2019-12

3. eScriptorium: An Open Source Platform for Historical Document Analysis;2019 International Conference on Document Analysis and Recognition Workshops (ICDARW);2019-09

4. Notes on the Reviewing of Learned Websites, Digital Resources, and Tools;Isis;2018-12-02

5. Historical Manuscript Dating using Textural Measures;2018 International Conference on Frontiers of Information Technology (FIT);2018-12

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