| 000 | 01670cam a2200325 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 008 | 140114s2013 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.08.Ph.D.2013.Ge.M | ||
| 100 | 0 | _aGehan Ahmed Bahgat Gamal Bahgat | |
| 245 | 1 | 0 |
_aMulti - feature fingerprint recognition system based on reference point detection / _cGehan Ahmed Bahgat Gamal Bahgat ; Supervised Aly E. Salama , Neamat S. Abdelkader, Samia A. Mashali |
| 246 | 1 | 5 | _aنظام للتعرف على البصمة متعدد الخصائص باستخدام النقطة المرجعية |
| 260 |
_aCairo : _bGehan Ahmed Bahgat Gamal Bahgat , _c2013 |
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| 300 |
_a145 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication | ||
| 520 | _aNowadays the accuracy of the fingerprint recognition system is increased by using multiple features matching techniques . This leads to an increase in the execution time . In addition more arithmetic operations are needed which would require more area on the hardware modules . The aim of this work is to compensate the increase in the execution time | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aFingerprint recognition | |
| 653 | 4 | _aFingerprint segmentation | |
| 653 | 4 | _aRidge orientation | |
| 700 | 0 |
_aAly Ezzat Salama , _eSupervisor |
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| 700 | 0 |
_aNeamat Sayed Abdelkader, _eSupervisor |
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| 700 | 0 |
_aSamia Abdelrazak Mashali , _eSupervisor |
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| 905 |
_aNazla _eRevisor |
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| 905 |
_aSoheir _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c44835 _d44835 |
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