This paper introduces a new facial expression recognition method based on Gabor filters
and a genetic algorithm. Gabor features are extracted from regions of interest of the human …

This paper proposes a facial expression recognition system based on Gabor feature using a
novel local Gabor filter bank. Traditionally, a global Gabor filter bank with 5 frequencies and …

An efficient automatic facial expression recognition method is proposed. The method uses a
set of characteristic features obtained by averaging the outputs from the Gabor filter bank …

Facial expression is a powerful way for human emotional communications. According to
various applications, automatic facial expression recognition becomes an interesting …

This paper deciphers the Facial Expression Recognition (FER) using Gabor Filter and
Artificial Neural Network (ANN), extracts the facial expression using Gabor filter and then …

Facial expression recognition has numerous applications, including psychological research,
improved human computer interaction, and sign language translation. A novel facial …

Automatic facial expression analysis plays a major role in catching emotional state of a
human being and can be effectively used in the field of human-computer interaction. Using …

This study is focused on improving the recognition rate and processing time of facial
recognition systems. First, the skin is detected by pixel based methods to reduce the …

This paper proposed a facial expression recognition approach based on Gabor wavelet
transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the …

The existing methods of facial expression recognition are always affected by different
illumination and individual. A facial expression recognition method based on local Gabor …