Missing Person Identification using Machine Learning with Python
With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. This system uses powerful python algorithm through which the detection and recognition of face is very easy and efficient. Human face is an important biometr...
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| Vydáno v: | International journal for research in applied science and engineering technology Ročník 10; číslo 11; s. 1264 - 1266 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
30.11.2022
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| ISSN: | 2321-9653, 2321-9653 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. This system uses powerful python algorithm through which the detection and recognition of face is very easy and efficient. Human face is an important biometric object in image and video databases of surveillance systems. Detecting and locating human faces and facial features in an image or image sequence are important tasks in dynamic environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. we want to identify the person based on face data base which we have already created in own data. After that we want to start identification of face using face recognition package. Finally, we will do comparison with data base and we will say weather that person is missing person or unknown person. |
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| ISSN: | 2321-9653 2321-9653 |
| DOI: | 10.22214/ijraset.2022.47564 |