Abstract: For the past few decades, one of the most extensively studied topics under computer vision is face recognition. This technology has many applications in real life. However, the performance of a face recognition system suffers with variation in lighting, pose and facial expression. Out of these major concerns faced by the recognition system this paper mainly focuses on the impact of expression variation in recognition systems. Facial expression changes have a negative effect on the accuracy of recognition of a face recognition system. Hence this paper proposes an expression invariant face recognition technique using convolutional neural network.

Keywords: Face Recognition, Expression Invariant, Convolutional Neural Networks, Deep Learning

PDF | DOI: 10.17148/IJARCCE.2019.8538

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