Facial Expression Based Face Recognition Using Machine Learning with SVM Kernel: HMM and FDA

Abstract

Face recognition is that the powerful task from the pictures that is done by a machine that is ready to determine the face of a human being. Automatic face recognition is that the still awfully acknowledged and hard to please stuffed of the image methodology thanks to that the researchers are taking the interest in it. Each face has its own characteristics and specification like size of the eyes position of the nose over the face and in addition the facial expression corresponding to Lips position and motion of lips over the face. The Face recognition has become a very dynamic space of research in recent years in the main thanks to upward security demands and its potential profitable and enforcement applications. The last decade has shown spectacular progress throughout this space, with emphasis on such applications as human-computer interface (HCI), biometric investigation, and content-based secret writing of metaphors and videos, and supervision. Feature based mostly facial expression for face recognition continues to be an extremely hot and hard task and since that we tend to our plan to propose an honest technique for it with a high performance rate towards these methods comparatively

Authors and Affiliations

Meenakshi Rathore

Keywords

Related Articles

Pocket PC

Pocket Pc it is easy-to-use, reliable and secure remote control software which will allow you to work on the remote home or office computer from your mobile phone. You will see the screen of the remote computer on your m...

Rhizosphere Microbiome and Plant Nutrition

Rhizosphere microorganisms can affect agricultural productivity by assisting and controlling nutrient availability/acquisition for instance results of experiments suggest that Arbuscular mycorhizae (AM) fungi absorb N, P...

Identification of the Areas of Students Difficulties in Chemistry Curriculum at the Secondary School Level

This study focused on identification of difficult chemistry topics on the secondary school curriculum. Three research questions and one hypothesis guided the study. A structured questionnaire was used to obtain data from...

Influence of Red Mud Catalyst in the Catalytic Fuel Reformer

The hazardous waste material such as Waste engine oil (WEO) and red mud is recycled in this study. WEO is thermally cracked with red mud catalyst in the catalytic fuel reformer (CFR). The gas obtained from the CFR is con...

Decision Support System for Agriculture Management

Currently climate change is one of the major problems encountered due to the climatic controls interacting in various intensities and in different combinations.[7]Agro Supply Chain will be an advisory and information sys...

Download PDF file
  • EP ID EP221595
  • DOI -
  • Views 108
  • Downloads 0

How To Cite

Meenakshi Rathore (2015). Facial Expression Based Face Recognition Using Machine Learning with SVM Kernel: HMM and FDA. International journal of Emerging Trends in Science and Technology, 2(3), 1976-1984. https://europub.co.uk/articles/-A-221595