Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/134190
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Enhanced document image Classification technique using Extreme learning machine classifier With fuzzy unsharp masking scheme | |
dc.date.accessioned | 2017-02-13T08:59:32Z | - |
dc.date.available | 2017-02-13T08:59:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/134190 | - |
dc.description.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 | |
dc.format.extent | xvii, 179p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Enhanced document image Classification technique using Extreme learning machine classifier With fuzzy unsharp masking scheme | |
dc.title.alternative | ||
dc.creator.researcher | Balamurugan E | |
dc.subject.keyword | fuzzy unsharp | |
dc.subject.keyword | machine classifier | |
dc.subject.keyword | Science and humanities | |
dc.description.note | p.166-178 | |
dc.contributor.guide | Sengotuvelan P | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Science and Humanities | |
dc.date.registered | n.d. | |
dc.date.completed | 01/10/2015 | |
dc.date.awarded | 30/10/2015 | |
dc.format.dimensions | 23cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Science and Humanities |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 22.79 kB | Adobe PDF | View/Open |
02_certificate.pdf | 4.22 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 8.28 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 4.67 kB | Adobe PDF | View/Open | |
05_contents.pdf | 30.93 kB | Adobe PDF | View/Open | |
06_list of table.pdf | 7.14 kB | Adobe PDF | View/Open | |
07_list of symbols.pdf | 3.59 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 327.54 kB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 179.35 kB | Adobe PDF | View/Open | |
10_chapter 3.pdf | 484.73 kB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 358.43 kB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 164.15 kB | Adobe PDF | View/Open | |
13_chapter 6.pdf | 14.43 kB | Adobe PDF | View/Open | |
14_chapter 7.pdf | 6.3 kB | Adobe PDF | View/Open | |
15_references.pdf | 57.54 kB | Adobe PDF | View/Open | |
16_publications.pdf | 5.2 kB | Adobe PDF | View/Open |
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