Neutral Facial Image Recognition Using Parallel Hopfield Neural Networks
نویسندگان
چکیده
This paper presents an approach to perform neutral facial image recognition through facial expression image. The differential of this work is the previous images processing. First, the dimension is reduced. Next, the image is sliced into gray levels, from the most significant bits to the less significant bits. Finally, eight parallel hopfield neural networks are applied, one for each gray level. So far, the results are encouraging, demonstrating better recognition rates in relation to other approaches.
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