Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/593
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJain, Arushi-
dc.contributor.authorSingh, Richa (Advisor)-
dc.contributor.authorVatsa, Mayank (Advisor)-
dc.date.accessioned2017-11-14T10:59:23Z-
dc.date.available2017-11-14T10:59:23Z-
dc.date.issued2017-04-18-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/593-
dc.description.abstractFace Recognition involves a wide range of applications, many of which are centered around forensic applications. Dead bodies in large-scale calamities like foods and earthquakes require to be identified. However, the bodies are sometimes damaged or wounded beyond recognition. Our main problem statement suggests solution to this problem. In this report we try to make a model that identifies skulls of dead bodies for forensic purposes and identification in general. This is a common problem with very limited solutions that have found utility in the real world. We try to provide an easy way to deal with the above problem and report the results.en_US
dc.language.isoen_USen_US
dc.subjectNeural-networksen_US
dc.subjectUnsuperviseden_US
dc.subjectSkullsen_US
dc.subjectSuperviseden_US
dc.titleFace recognition for forensicsen_US
dc.typeOtheren_US
Appears in Collections:Year-2017

Files in This Item:
File Description SizeFormat 
Arushi Jain_2013023.pdf
  Restricted Access
1.19 MBAdobe PDFView/Open Request a copy


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