Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/134190
Title: Enhanced document image Classification technique using Extreme learning machine classifier With fuzzy unsharp masking scheme
Researcher: Balamurugan E
Guide(s): Sengotuvelan P
Keywords: fuzzy unsharp
machine classifier
Science and humanities
University: Anna University
Completed Date: 01/10/2015
Abstract: Document Image Analysis for information extraction has very newlineprominent in recent years Document image is composed of a variety of newlinephysical entities or regions such as handwritten text machine printed newlinetexts blocks lines words figures tables and background Document newlineanalysis and recognition aims to automatic extraction of information newlinepresented in scanned documents The most widely known applications newlineof document analysis and recognition are processing of office newlinedocuments business letters forms engineering drawings and maps text newlinebooks technical manual musical notations and symbolic data Major newlineissues in the document analysis are removal of noise and artifacts that newlineare introduced during scanning phase segmentation feature extraction newlineand classification newline newline
Pagination: xvii, 179p.
URI: http://hdl.handle.net/10603/134190
Appears in Departments:Faculty of Science and Humanities

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02_certificate.pdf4.22 kBAdobe PDFView/Open
03_abstract.pdf8.28 kBAdobe PDFView/Open
04_acknowledgement.pdf4.67 kBAdobe PDFView/Open
05_contents.pdf30.93 kBAdobe PDFView/Open
06_list of table.pdf7.14 kBAdobe PDFView/Open
07_list of symbols.pdf3.59 kBAdobe PDFView/Open
08_chapter 1.pdf327.54 kBAdobe PDFView/Open
09_chapter 2.pdf179.35 kBAdobe PDFView/Open
10_chapter 3.pdf484.73 kBAdobe PDFView/Open
11_chapter 4.pdf358.43 kBAdobe PDFView/Open
12_chapter 5.pdf164.15 kBAdobe PDFView/Open
13_chapter 6.pdf14.43 kBAdobe PDFView/Open
14_chapter 7.pdf6.3 kBAdobe PDFView/Open
15_references.pdf57.54 kBAdobe PDFView/Open
16_publications.pdf5.2 kBAdobe PDFView/Open
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