Face Recognition System Project using Image Processing
Face Recognition that includes detection and identifying a person face in video or image. That is done by identifying the visual inputs and to determine weather that human facial feature is present or not. face recognition technique sometimes called facial recognition that detect and recognize human faces in image and video. This is a biometric technology that identify and recognize person facial characteristic using different methodologies and algorithms.
Since human faces are in diverse ranges, so model is trained on large dataset of person images to give them input data for model to get accurate result in output. most important thing is to train dataset with sufficient images of peoples that have different background, gender and different locations.
Face Recognition with Real Time Database
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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