NDLI: Model-based character extraction from complex backgrounds

Content Provider	IEEE Xplore Digital Library
Author	Xiangyun Ye Cheriet, M. Suen, C.Y.
Copyright Year	1999
Description	Author affiliation: Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada (Xiangyun Ye)
Abstract	This paper proposes a model-based character extraction method. We model a pixel belonging to a character as a double-edge, whose range is defined by the stroke width, and whose intensity is proportional to the local contrast. By extracting such double-edge feature at a predefined stroke width, sharply changing as well as slowly varying backgrounds can be eliminated. A set of morphological operators is designed to extract the double-edge feature at each pixel of the raw image, and the characters are extracted by thresholding these features. A goal directed evaluation of extraction of the courtesy amount from bank cheques reveals the advantages of the proposed method over other existing methods. Visual inspection of legal amount extraction shows further promise in extracting characters from complex backgrounds.
Starting Page	511
Ending Page	514
File Size	91422
Page Count	4
File Format	PDF
ISBN	0769503187
DOI	10.1109/ICDAR.1999.791837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Layout Pattern recognition Machine intelligence Laboratories Pixel Inspection Read only memory Web sites Vehicles
Content Type	Text
Resource Type	Article

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

Double-edge-model based character stroke extraction from complex backgrounds

An Intelligent Module Generator Environment

A video text extraction method for character recognition

Cooperative text and line-art extraction from a topographic map

Stroke-model-based character extraction from gray-level document images

Extraction of type style based meta-information from imaged documents

Affixal approach for Arabic decomposable vocabulary recognition a validation on printed word in only one font

Character recognition using fuzzy rules extracted from data

Document classification using layout analysis

Model-based character extraction from complex backgrounds

Similar Documents

Double-edge-model based character stroke extraction from complex backgrounds

An Intelligent Module Generator Environment

A video text extraction method for character recognition

Cooperative text and line-art extraction from a topographic map

Stroke-model-based character extraction from gray-level document images

Extraction of type style based meta-information from imaged documents

Affixal approach for Arabic decomposable vocabulary recognition a validation on printed word in only one font

Character recognition using fuzzy rules extracted from data

Document classification using layout analysis

Model-based character extraction from complex backgrounds