Smart Examinee Authentication System using Fisherface Algorithm
Suryakant, Utkarsh Sharma, Sindhu Thakur, Samiksha Sengar, Anjali Yadav
Biometric, Fisherface, face recognition, ANN, PCA, LDA
In the quickly developing universe of Information and Communication Technology (ICT), verification of human appearances with least human intercession has a more prominent interest in different areas. As HFR (Human Face Recognition is a notable procedure for verifying clients or partners. Biometric as a predominant branch for check, HFR has its applications in video observing/observation frameworks, HCI. This paper is proposed to introduce a strategy for perceiving an Examinee utilizing the procedure called face acknowledgment wherein Python programming D-Lib and other related libraries/conditions are utilized. This model Biometric system requires an approval machine. The proposed work comprises two steps: enrollment and authentication. The enrollment process is done in two phases: online registration in which students /examinees feed their information according to the filled databases and face detection. An authentication image analysis process is carried out with the help of Fisherface algorithm which is used for further processing.
Article Details
Unique Paper ID: 151758

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 893 - 897
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