Document image noises and removal methods
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Other Title
Authors
Farahmand, Atena
Sarrafzadeh, Hossein
Shanbehzadeh, Jamshid
Sarrafzadeh, Hossein
Shanbehzadeh, Jamshid
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2013
Supervisors
Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
pre-processing document noise
OCR
noise removal algorithms
OCR
noise removal algorithms
ANZSRC Field of Research Code (2020)
Citation
Farahmand, A., Sarrafzadeh, A., and Shanbehzadeh, J. (2013). Document image noises and removal methods. Proceedings of the International MultiConference of Engineers and Computer Scientists(Ed.), Hong Kong.1, 436-440.
Abstract
Document images may be contaminated with noise during transmission, scanning or conversion to digital form. We can categorize noises by identifying their features and can search for similar patterns in a document image to choose appropriate methods for their removal. After a brief introduction, this paper reviews noises that might appear in scanned document images and discusses some noise removal methods.
Publisher
Newswood Ltd.
Permanent link
Link to ePress publication
DOI
Copyright holder
Newswood Ltd.
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