A Novel Approach for Facial Attendance:AttendXNet
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Feature extraction, Support Vector Machine, Muli-layer Neural Network, Face Anti-spoofing, Faiss
Abstract
Recent advancements in the area of facial recognition and verification introduced the possibility of facial attendance for various use cases. In this paper we present a system named as AttendXNet. Our method uses the ResNet and Multi-layer feed forward network to achieve the state of art results. Extensive analysis of various deep learning and machine learning techniques is described. Face anti-spoofing is a major challenge in facial attendance. Extended-MobileNet is used to resolve the same issue. We also introduced the end to end pipeline to implement an attendance system for various use cases.
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Copyright (c) 2020 Kawal Arora, Ankur Singh Bist, Roshan Prakash, Saksham Chaurasia
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