Face recognition based Attendance System
The steps of the experiment process are;
1.Initiate capturing the images through the camera which is
able to rotate in all direction in the class room.
2. Pre-process the captured images through and extract face
image.
3.Calculate the eigen value of the captured face image and
compared with that of the existing face images.
4.If the eigen value does not matches with the existing
one,save it as a new face image.
5.If the eigen values matches, then the recognition process
will start soon.
6. Using PCA algorithm the following steps would be
followed
7. Find the face information of matched face image in the
database.
8. Update the log table with corresponding face image and
system time that makes completion of attendance for an
individual students.
9.This section presents the results of the experiments.
Cite As
GK BHAT (2024). Face recognition based Attendance System (https://www.mathworks.com/matlabcentral/fileexchange/51119-face-recognition-based-attendance-system), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Semantic Segmentation >
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facerecattendencesystem/
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