Skip navigation


Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2257
Full metadata record
DC FieldValueLanguage
dc.contributor.author. Kharate, G. K-
dc.date.accessioned2019-08-10T10:37:54Z-
dc.date.available2019-08-10T10:37:54Z-
dc.date.issued2013-06-01-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/2257-
dc.description.abstractIn this paper we have compared 7 distance measures for face recognition using multi resolution analysis. Different wavelet families like Haar, Daubechies, Symlet, Biothogonal are used to test the results. Recognition experiments are performed using the database containing images of 400 persons. The experiments showed that the best recognition results are achieved using Manhattam distance measure on A2 and A3 subbands of symlets 8 wavelet.en_US
dc.subjectdistance measure,en_US
dc.subjectface recognitionen_US
dc.subjectwaveleten_US
dc.titleComparative Study of Multiresolution Analysis and Distance Measures for Face Recognitionen_US
dc.typeOtheren_US
Appears in Collections:Electronics OR E & TC

Files in This Item:
File Description SizeFormat 
MRA(1).pdf1.9 MBUnknownView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.