Age Invariant Face Recognition

dc.contributor.author	Muhammad Junaid Khan, 01-134141-079
dc.contributor.author	Muhammad Hamza Imtiaz, 01-134141-072
dc.date.accessioned	2018-05-09T14:34:54Z
dc.date.available	2018-05-09T14:34:54Z
dc.date.issued	2017
dc.identifier.uri	http://hdl.handle.net/123456789/6223
dc.description	Supervised by Ms. Momina Moetesum	en_US
dc.description.abstract	Automated face recognition is a popular area of research due to its wide applicability. However, there are several challenges which obscure performance of such systems. These include pose, lightning, facial expressions, hair and accessories. Recently there is another aspect i.e. ‘Age invariance’, which is attracting researchers and developers. The main objective of this project is to build a desktop application which can detect same face across different age groups. By applying image analysis and recognition techniques on various facial features i.e. (nose, eyes, mouth etc.), we have achieved considerable recognition results. Training was done on a database of 1600 images is used consisting of celebrity images across various age groups.	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-6367
dc.subject	Computer Sciences.	en_US
dc.title	Age Invariant Face Recognition	en_US
dc.type	Project Reports	en_US