Facial Expression Detection using Correlation in Image Processing

Abstract

Emotion intelligence in human computer interaction is increasing day by day. Human easily detect emotion can see as they are associated with mood, temperament, personality and disposition but for computer its difficult tasks. Computer can detect emotions using digital image analysis. Human can detect emotion using speech with different parameters tone, pitch etc. But emotion detection using digital image analysis is unique technique. In this paper we proposed software which uses digital image to recognize different emotions like angry, happy, sad, surprise etc. This software is divided into two phases 1. Train the software about emotions. 2. Detect the emotions. In this first we preprocessed an image to detect face, and then we select our region of interest using some thresholding. On cropped face, we then applied lip detection algorithm and this lips are stored in database as template with corresponding emotion name. In second phase, we processed give image till lip detection and then we co-relate it with our stored templates. This is simple and in-expensive method to detect facial expression than that of using brain activity or speech.

Authors and Affiliations

Namrata Mahajan, Prof. Nilesh Bodne, Prof. Vinay Keswani

Keywords

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  • EP ID EP19475
  • DOI -
  • Views 275
  • Downloads 5

How To Cite

Namrata Mahajan, Prof. Nilesh Bodne, Prof. Vinay Keswani (2015). Facial Expression Detection using Correlation in Image Processing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(1), -. https://europub.co.uk./articles/-A-19475