An Intelligent Facial Recognition System using Stacked Auto Encoder with Convolutional Neural Network (CNN) Approach
DOI:
https://doi.org/10.12723/mjs.sp2.17Keywords:
Facial Recognition, Geometric Feature, Deep Learning, Auto-Encoder, Neural Network, ClassificationAbstract
The act of identifying an emotional feeling is described as facial expression. one of the effective techniques for interperson communication. They serve as indications that regulate interactions with those around. As a result, they are crucial in creating effective relationships.Facial expression recognition system to identify the expressions by evaluating the changes in facial characteristics and extracting features from facial images. This system essential for enhancing computer-human interaction. The majority of facial emotion recognition research mainly relies on reference face model and well known facial landmarks. Due to intricacy of the face musculature, finding the most noticeable facial landmarks can be difficult and requires physical intervention for improved accuracy. So, this research work provides new dimension to deal with the above issues by proposing a Stacked Auto-Encoder with Convolutional Neural Network based approach that does not rely on the landmarks or a reference model. The proposed approach outperforms the existing techniques.
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