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Heuristics for identification of bibliographic elements from verso of title pages

Heuristics for identification of bibliographic elements from verso of title pages This paper presents a methodology to capture bibliographic data from the verso of the title pages of documents. A survey has been undertaken to identify the syntactic and semantic features of bibliographic elements on the verso of title pages. These features include the font size, line numbers and appearence of certain string of characters. Emphasis is given to the study of “cataloguing‐in‐publication” data. The results of the survey are used to develop heuristics which can help in developing a program to automatically identify the various bibliogaphic data elements. The back of the title pages are scanned and stored as HTML pages using optical recognition software. The heuristics are then applied on the HTML pages. Few samples of input and the output generated are presented. Finally, the problems related to OCR and the heuristics are enumerated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Library Hi Tech Emerald Publishing

Heuristics for identification of bibliographic elements from verso of title pages

Library Hi Tech , Volume 22 (4): 7 – Dec 1, 2004

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0737-8831
DOI
10.1108/07378830410570502
Publisher site
See Article on Publisher Site

Abstract

This paper presents a methodology to capture bibliographic data from the verso of the title pages of documents. A survey has been undertaken to identify the syntactic and semantic features of bibliographic elements on the verso of title pages. These features include the font size, line numbers and appearence of certain string of characters. Emphasis is given to the study of “cataloguing‐in‐publication” data. The results of the survey are used to develop heuristics which can help in developing a program to automatically identify the various bibliogaphic data elements. The back of the title pages are scanned and stored as HTML pages using optical recognition software. The heuristics are then applied on the HTML pages. Few samples of input and the output generated are presented. Finally, the problems related to OCR and the heuristics are enumerated.

Journal

Library Hi TechEmerald Publishing

Published: Dec 1, 2004

Keywords: Bibliographic systems; Information operations; Data handling; Cataloguing; Classification schemes

References