| 000 | 01057ntm a2200301 i 4500 | ||
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_c93082 _d93088 |
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| 003 | MY-KuUP | ||
| 005 | 20251125105625.0 | ||
| 006 | t||||fr|||| 000 0 | ||
| 007 | ta | ||
| 008 | 200910t20182018my a|||f |||| 000 0 eng d | ||
| 020 | _aTHE0008855(Local) | ||
| 040 |
_aUMP _beng _cUMP _erda |
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| 090 | _aTK7882.B56 Z36 2018 r Thesis | ||
| 100 | 0 |
_aMohd Zamri Osman, _eauthor. |
|
| 245 | 1 | 0 |
_aEnhanced ethnicity identification model based on hybrid optimal skin colour and texture features / _cMohd Zamri Osman |
| 264 | 1 |
_aJohor Bahru : _bUniversiti Teknologi Malaysia, _c2018 |
|
| 264 | 1 | _c© 2018 | |
| 300 |
_axxii, 204 pages : _billustrations (some color) ; _c30 cm. |
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| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
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| 502 | _aThesis (Doctor of Philosophy) -- Universiti Teknologi Mara -- 2018 | ||
| 504 | _aIncludes bibliographical references | ||
| 650 | 0 | _aBiometric identification | |
| 650 | 0 | _aHuman face recognition (Computer science) | |
| 650 | 0 | _aImage processing | |
| 942 |
_2lcc _cTHESIS |
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