| 000 | 02052nam a2200253 a 4500 | ||
|---|---|---|---|
| 001 | vtls000018169 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204340.0 | ||
| 008 | 070212t2006 my a f 000 0 eng d | ||
| 020 | _aTHE0002375(Local) | ||
| 039 | 9 |
_a201905271214 _bshamsul _c201211011414 _dFida _c201107131817 _dVLOAD _c200908141203 _dVLOAD _y200702121623 _zfarina |
|
| 040 | _aUMP | ||
| 090 | _aTA155 .I96 2006 rs Thesis | ||
| 100 | 0 | _aIzni Syarinaz Ismayuddin | |
| 245 | 1 | 0 |
_aFingerprint recognition using feature extraction/ _cIzni Syarinaz binti Ismayuddin |
| 260 |
_aKuantan, Pahang : _bKUKTEM, _c2006 |
||
| 300 |
_axv, 59 p. : _bill. ; _c30 cm. |
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| 502 | _aProject paper (Bachelor of Computer Science (Software Engineering)) -- Kolej Universiti Kejuruteraan dan Teknologi Malaysia - 2006 | ||
| 504 | _aBibliography : p. 48 | ||
| 520 | _aLately, fingerprint recognition usage among users is to make sure the safety of security level or pin code user is very encourage. There are so many applications that using fingerprint recognition such as fingerprint recognition for password and it is also used in order to recognize individual identity card. However, the fingerprint among individual is so unfamiliar and not for common known. Throughout this project, 'Fingerprint Recognition using Feature Extraction' can recognize the types of fingerprint for every individual and the unique is, with every characteristics of the difference fingerprint among individual, it can be read in computer language by using the method that was shown in image processing. The reason why this system was developed is to analyze the method that always been used to recognize fingerprint. Besides that, fingerprint recognition from analog image into digital image can be carry out by using feature extraction method that is can recognize the characteristic in fingerprint image. | ||
| 650 | 0 |
_aFingerprints _xData processing |
|
| 650 | 0 |
_aImage processing _xDigital techniques |
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| 999 |
_aVIRTUA40 _c479 _d485 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992 | ||