alexa BIOMETRIC TECHNIQUES AND FACIAL EXPRESSION RECOGNITION-A REVIEW
ISSN: 1948-1432

Journal of Global Research in Computer Sciences
Open Access

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Review Article

BIOMETRIC TECHNIQUES AND FACIAL EXPRESSION RECOGNITION-A REVIEW

Renu Nagpal*1, Pooja Nagpal2 and Sumit Malhotra3
  1. CSE Department,Bhai Gurdas Institute of Engineering & Technology,Sangrur, Punjab,India
  2. CSE Department,Rayat Institute of Engineering & Information Technology,Ropar, Punjab,India
  3. CSE Department,Bhai Gurdas Institute of Engineering & Technology,Sangrur, Punjab,India
Corresponding Author: Renu Nagpal, E-mail: [email protected]
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Abstract

The type of authentication, the one relies on measurable physical characteristics that can be automatically checked, and is becoming more popular and demanded. It is called biometrics. This study aims to give the basic review on the biometric techniques and discussion to facial expression recognization in still images and in videos also and to discuss both the techniques for intelligent computers or robots that are mind implemented. An automatic system for the recognition of facial expressions is based on a representation of the expression, learned from a training set of preselected meaningful features. As a first we investigate the emotionally intelligent computers which can perceive human emotions. Biometric uses a variety of processes and techniques to analyze the authentication of the living person. Biometrics is the science and technology of measuring and analyzing biological data. In information technology, biometrics refers to technologies that measure and analyze human body characteristics such as fingerprints, eye retinas, irises, voice patterns, facial patterns and hand measurements, for authentication purposes. In this research paper there is a stress on biometric and techniques of biometric also we have discussed facial expression recognition for both static and dynamic techniques to recognize human facial expression to recognize universally recognized five principal emotions namely angry, disgust, happy, sad and surprise along with neutral in still images and also in video sequence.

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