Development Of 3D Face Recognition Using Mapped Depth Image

Ku Aziz, Ku Nurfarah Wahida (2019) Development Of 3D Face Recognition Using Mapped Depth Image. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, as we can see the usage of biometric especially face recognition was widely developed. Facial recognition mostly being used in security system to allow user to protect their personal information. All the users wanted their own personal things or information to be secured with a trusted security system. The normal security that commonly used nowadays like password are no longer relevant and can be hacked and people also preferred an easier and flexible way. So, this project is made to introduce the other ways for security system which is face recognition that can recognize the user successfully by using mapped depth image in MATLAB. The human face will be captured by using Zed Stereo Camera. After captured the image, face detection will detected the face input image and features extraction from the face. Finally, the image captured is used and convert them to 3D. Overall, this method is more accurate and more secure than 2D.

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