Face Expression Research Based On The Recognition Of Geometric Features And Support Vector Machine

Important form of expression is a human micro-verbal communication, thinking andemotional attitude of the human heart through the precise and subtle expressions revealpassed to each other. To some extent, the facial expression for the exchange of informationbetween people has an irreplaceable role and significance, especially in strong noiseenvironment in this sense, the utility will be more obvious. Intelligent recognition of facialexpressions using computer is the basis of man-machine user-friendly interaction. With therapid progress of Internet communication technology and artificial intelligence technology inthe new century, human-computer interaction more and more to attract people’s interest andconcern, making the human facial expression recognition as an emerging research focus. Facerecognition technology has become increasingly widely used in the field of computer vision,psychology, pattern recognition, and its development prospects are very bright.General-purpose human-computer interaction or by mouse, keyboard and voice, In essence,because the computer does not have the ability to read the human inner world, to achieve thecomputer convenient extraction of human facial expressions and correctly analyze the needsof mature and high-tech theory and technology as support. The existing technical conditions,the feature points on the complex facial muscle movement combined motion and accuratepositioning, so the application of face recognition technology in the social production andliving are still subject to greater restrictions.On the basis of face recognition technology at home and abroad, the value analysis onthe current expression of the face recognition technology, image preprocessing, featureextraction and automation of image expression classified as the weak link in the threeworking proceduresin-depth discussion and exploration, focusing on two launched a study:First geometrical Feature Extraction algorithm improvement and image dimensionalityreduction technology focused on the feature extraction process of technological innovation;vector machine basedthe face recognition technology algorithm improvements, theintroduction of a classification measure between the class constructing a decision tree theory,support vector machine classification of face recognition technology.