000			02277cam a2200313 a 4500
003			EG-GiCUC
008			151011s2015 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.03.M.Sc.2015.Mo.U
100	0		_aMalek Abass Ahmed Saead
245	1	4	_aThe use of optical correlators in medical pattern recognition and biometrics / _cMalek Abass Ahmed Saead ; Supervised Nahed Hussein Solouma , Inas Ahmed Mohamed Yassine
246	1	5	_aاستخدام ادوات الترابط البصرية فى التعرف على النماذج الطبية والقياسات الحيوية
260			_aCairo : _bMalek Abass Ahmed Saead , _c2015
300			_a68 P. : _bcharets , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520			_aOne of the recent and most important topics in the field of medical diagnosis is pattern recognition which needs high speed with a high confidence level. Traditional digital pattern recognition techniques need immense computation and are relatively slow. On other hand Optical processing has obvious advantages since it is done in real time due to the inherent parallelism of processing. In this study, we have built an optical pattern recognition system using joint transform correlator (JTC) and fringe-adjusted joint transform correlator (FJTC) for real-time target recognition applications. We used the images of fingerprints to prove the feasibility of such systems in matching medical patterns. The input images of fingerprints were correlated directly with the reference fingerprints and a highly distinctive correlation signal was produced if reference and target image are similar. A negligible correlation signal was produced when the reference and target images are different
530			_aIssued also as CD
653		4	_ajoint transform correlator (JTC)
653		4	_aOptical correlation
653		4	_aOptical Pattern recognition
700	0		_aInas Ahmed Mohamed Yassine , _eSupervisor
700	0		_aNahed Hussein Solouma , _eSupervisor
905			_aNazla _eRevisor
905			_aSoheir _eCataloger
942			_2ddc _cTH
999			_c52677 _d52677