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Citation

Lukáš Bureš and Petr Neduchal and Luděk Müller : Automatic Information Extraction from Scanned Documents . SPECOM: International Conference on Speech and Computer, Lecture Notes in Computer Science , vol. 12335, p. 87-96, Springer, Cham, 2020.

Abstract

This paper deals with the task of information extraction from a structured document scanned by an ordinary office scanner device. It explores the processing pipeline from scanned paper documents to the extraction of searched information such as names, addresses, dates, and other numerical values. We propose system design decomposed into four consecutive modules: preprocessing, optical character recognition, information extraction with a database, and information extraction without a database. In the preprocessing module, two essential techniques are presented – image quality improvement and image deskewing. Optical Character Recognition solutions and approaches to information extraction are compared using the whole system performance. The best performance of information extraction with the database was obtained by the Locality-sensitive Hashing algorithm.

Detail of publication

Title: Automatic Information Extraction from Scanned Documents
Author: Lukáš Bureš ; Petr Neduchal ; Luděk Müller
Language: English
Date of publication: 29 Sep 2020
Year: 2020
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: SPECOM: International Conference on Speech and Computer
Series: Lecture Notes in Computer Science
Číslo vydání: 12335
Page: 87 - 96
DOI: https://doi.org/10.1007/978-3-030-60276-5_9
ISBN: 978-3-030-60276-5
ISSN: 1611-3349
Publisher: Springer, Cham
/ 2021-01-16 09:48:36 /

BibTeX

@INPROCEEDINGS{LukasBures_2020_AutomaticInformation,
 author = {Luk\'{a}\v{s} Bure\v{s} and Petr Neduchal and Lud\v{e}k M\"{u}ller},
 title = {Automatic Information Extraction from Scanned Documents},
 year = {2020},
 publisher = {Springer, Cham},
 journal = {SPECOM: International Conference on Speech and Computer},
 volume = {12335},
 pages = {87-96},
 series = {Lecture Notes in Computer Science },
 ISBN = {978-3-030-60276-5},
 ISSN = {1611-3349},
 doi = {https://doi.org/10.1007/978-3-030-60276-5_9},
 url = {http://www.kky.zcu.cz/en/publications/LukasBures_2020_AutomaticInformation},
}