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

Related Articles

Advanced Pesticide Sprayer using Blimp Balloons

The main aim of this method is to obtain short delay in the control loop so that spraying UAV can process the information. An algorithm is evaluated to adjust the UAV route under change in wind intensity and direction....

A Method for Compression of Solar Image using Integer Wavelet Transform

Compression is becoming a very important method for reducing the redundancy in the images. The use of larger DWT (discrete wavelet transform) basis functions or wavelet filters produced distortion in the reconstructed i...

An Ensemble Approach to Discovering Evolving Communities in the Multidimensional Social Network

Online Social network is growing to large extent to share information between the different diversity people around the world. The main objective of the proposed system to identify the community in the multidimensional...

slugComparisons and Implementation of different Segmentation algorithm based on entropy and energy

In image segmentation features like edges, boundaries etc are extracted to characterize images. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with o...

Internet of Things based Hazardous Gas detection in Power Plants

As most of the power production in today’s world mainly relies on power plants,it becomes more considerate for its safety. It is necessary that good safety systems are to be implemented in places of education and work....

Download PDF file
  • EP ID EP19475
  • DOI -
  • Views 241
  • 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