1. Lovely Professional University
  2. PG Dissertation
  3. Electronics and Communication Engineering
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3851
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dc.contributor.authorBawa, Heena-
dc.contributor.authorSingh, Ajmer-
dc.date.accessioned2019-07-17T04:35:21Z-
dc.date.available2019-07-17T04:35:21Z-
dc.date.issued2017-05-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3851-
dc.language.isoenen_US
dc.publisherLovely Professional Universityen_US
dc.subjectElectronics and Communication Engineeringen_US
dc.titleFingerprint Based Gender and Age Identification Using Neural Networken_US
dc.typeThesisen_US
Appears in Collections:Electronics and Communication Engineering

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