Abstract—The popularity of Face Recognition (FR) systems have increased due to their use in widespread applications, such as biometric (identification and authentication), security (Banks, airports, etc.) and surveillance (missing children or tracking down fugitive criminals) systems, as well as image and video indexing systems. FR has been a strong field of research since the 1990s, but is still far from reliable and more techniques are being invented each year. FR research area main difficulties are, some people faces recognition might not work as well as for others (for example, long hair or beard, emotions, lighting, and background might give extra difficulty). Most of the research experts strongly believe that emotions of a person play the crucial role in decision making. The effective and quality decisions are made when the person is in a normal state of emotion but not in an abnormal state of emotions. This paper introduces recognition of a face under different emotions based on Soft Local Ternary Patterns (SLTP). This method performance is evaluated on the MATLAB and results are compared in terms of recognition rate.

Index Terms—Face Recognition, Emotions, Recognition rate, LBP, LTP, SLTP

Cite: B Gowthami, C Maheswari and K Neelima, "FACE RECOGNITION BASED ON SLTP METHOD UNDER DIFFERENT EMOTIONS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 6, No. 2, pp. 59-66, April 2017.