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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35U56K2
Repositorysid.inpe.br/sibgrapi@80/2009/08.29.21.45
Last Update2009:08.29.21.45.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.29.21.45.50
Metadata Last Update2022:06.14.00.14.08 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.52
Citation KeyOmaiaPoelBati:2009:2DDiBa
Title2D-DCT Distance Based Face Recognition Using a Reduced Number of Coefficients
FormatPrinted, On-line.
Year2009
Access Date2024, May 04
Number of Files1
Size448 KiB
2. Context
Author1 Omaia, Derzu
2 Poel, JanKees van der
3 Batista, Leonardo Vidal
Affiliation1 UFPB/CCEN/DI
2 PPGEM/DEM/UFPB
3 PPGI/DI/UFPB
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addressderzuomaia@yahoo.com.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:28 :: derzuomaia@yahoo.com.br -> administrator ::
2022-06-14 00:14:08 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsFace Recognition
Discrete Cosine Transform
Feature Selection
Classification
AbstractAutomatic face recognition is a challenging problem, since human faces have a complex pattern. This paper presents a technique for recognition of frontal human faces on gray scale images. In this technique, the distance between the Discrete Cosine Transform (DCT) of the face under evaluation and all the DCTs of the faces database are computed. The faces with the shortest distances probably belong to the same person; therefore this evaluating face is attributed to this person. The distance is calculated as the sum of the differences between the modules of DCT coefficients. Only a few coefficients are used in this computation; they are selected from the low frequency of the DCT. Experimental tests on the ORL database reaches a recognition rate of 99.75%, with low computational cost and no preprocessing step. Additionally, the method achieved 100.0% of recognition accuracy when applying a zooming normalization over the ORL database.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > 2D-DCT Distance Based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > 2D-DCT Distance Based...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW4/35U56K2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35U56K2
Languageen
Target FileDCTFaceRecogSIBGRAPI2009Final.pdf
User Groupderzuomaia@yahoo.com.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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