NDLI: Historical Typewritten Document Recognition Using Minimal User Interaction

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Historical Typewritten Document Recognition Using Minimal User Interaction

Content Provider	ACM Digital Library
Author	Gatos, Basilis Retsinas, George Antonacopoulos, Apostolos Stamatopoulos, Nikolaos Louloudis, Georgios
Abstract	Recognition of low-quality historical typewritten documents can still be considered as a challenging and difficult task due to several issues i.e. the existence of faint and degraded characters, stains, tears, punch holes etc. In this paper, we exploit the unique characteristics of historical typewritten documents in order to propose an efficient recognition methodology that requires minimum user interaction. It is based on a pre-processing stage in order to enhance the quality and extract connected components, on a semi-supervised clustering for detecting the most representative character samples and on a segmentation-free recognition stage based on a template matching and cross-correlation technique. Experimental results prove that even with minimum user interaction, the proposed method can lead to promising accuracy results.
Starting Page	31
Ending Page	38
Page Count	8
File Format	PDF
ISBN	9781450336024
DOI	10.1145/2809544.2809559
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-08-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Historical typewritten document analysis and recognition Semi-supervised clustering Character clustering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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