NDLI: A system for reading low quality characters from printouts

Content Provider	IEEE Xplore Digital Library
Author	Kovacs, Z.M.
Copyright Year	1996
Description	Author affiliation: MicroAcad. Srl, Bologna, Italy (Kovacs, Z.M.)
Abstract	In this paper a system is presented which is used to read low quality machine-printed characters. It is used to read computer printouts when the data file is not available. The assumptions on the characters are that their font belongs to a set of known fonts and that they are organized into tables or columns. Usually, the printer used for these documents is fast and the printing quality is low, due to the used up inked ribbon and to damaged nozzles or print head. Hence standard machine-printed OCR systems feature about 15% error rate on these sheets, a specific technique is needed. In order to cope with the recognition of broken characters and character pieces, the system is based on a two step strategy. First, it tries to match the unknown character using a moving-window technique. Then, if this fails, it creates a new reference image set using the already recognized characters of the document and repeats the first matching step. Thus, the correlation among damaged characters is used. The first step allows to reach a 2% error rate and the application of the second step lowers it to 0.15%. This low error rate is possible thanks to the ability of the system to adapt its behavior to the damaged characters produced by the printer. The average recognition time on a SUN SparcStation 10 is 15 ms/character, computed on about 100000 characters contained in 50 documents.
Starting Page	185
Ending Page	189
File Size	434715
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.546935
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical character recognition software Character recognition Printers Image recognition Error analysis Image quality Magnetic heads Printing Sun Time sharing computer systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in