Student Information Extraction by using Face Recognition

Dr. P. Anusha, R.V. Kannadasn, S. Faisal, K. Manojkumar, T. Santhakumar

Obtaining and managing a student’s details plays a vital role in academic database management and getting specific student details from the database becomes a very time-consuming process. Where the solution we bring to that problem is Face recognition-based Data Extraction. We will be implementing face recognition to detect the student’s face and match the detected face in the database to get that student’s details. To train the dataset we are using OpenCV (computer vision) a Python library. And we are training the dataset using classifiers. Once the face detection Is done and matched in the database it will display the output in a graphical user interface (GUI) we created using Tkinter.

Face Detection; Face Recognition; Dataset Preparation; Dataset Training; ; Haar Cascade; Classification Model; CNN.

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