000			naa a22 7ar4500
016			_a000239483000015
020			_a3-540-34437-3
022			_a0302-9743
040			_aNEU
041			_aeng
050	0	4	_aQA76
100	1		_9191308 _aKhashman, Adnan, _cAssoc. Prof. Dr.
245	1	0	_aFace recognition using neural networks and pattern averaging _cAdnan Khashman.
260			_c2006. _bSpringer, _aBerlin :
520			_aThe human ability to recognize objects has not so far been matched by intelligent machines. This is more evident when it comes to recognizing faces, where a quick human "glance" is sufficient to recognize a "familiar" face. Face recognition has recently attracted more research aimed at developing reliable recognition by machines. Current face recognition methods rely on detecting certain features within a face and using these features for face recognition. This paper introduces a novel approach to face recognition by simulating our ability to recognize "familiar" faces after a quick "glance" using pattern averaging and neural networks. A real-life application will be presented throughout recognizing the faces of 30 persons. Time costs and the neural network parameters will be described, in addition to future work aimed at further improving the developed system.
650		0	_9572720 _aNear East University Article
650		0	_9118839 _aComputer science
650		0	_9572723 _aYakın Doğu Üniversitesi Makale
650		0	_9574734 _aTheory & Methods
650		0	_9117213 _aArtificial intelligence
773			_g2006, v 3972 p98-103 _tAdvances In Neural Networks _z3-540-34437-3 _x0302-9743
942			_x1000007 _kQA0000076F332006 _cOED
005			20161003112731.0
008			150427t xxu||||| |||| 00| 0 tu d
001			270141
999			_c246796