Facial Expression based Person Authentication
نویسندگان
چکیده
منابع مشابه
Facial Expression based Person Authentication
High quality automatic facial expression based person authentication system is practically difficult mainly due to poses in face. This work paves way to develop a more perfect automatic person authentication system using facial expressions. In this work, ways to extract automatically pose free face images from video taken in normal room condition, determining mouth region, extracting features a...
متن کاملFacial Movement Based Person Authentication
In this position paper, we present an authentication method using spatial temporal facial movements. Facial movements are defined by a facial coding system and are obtained by making a facial expression in front of a 3D camera. Facial muscle movements are impossible to be replicated, thus our method is invulnerable to spoofing attacks. We briefly discuss our current work and present preliminary...
متن کاملFacial Expression and Visual Speech based Person Authentication
Most of the person authentication system lacks perfection due to face poses and illumination variation. One more problem in person authentication is the selection of source for feature generation. In this work, videos have been recorded with variations in poses. The videos have been taken in normal office lighting condition. Videos of persons are taken in three situations. First when faces are ...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملPerson Independent Facial Expression Recognition Using 3D Facial Feature Positions
Facial expressions contain a lot of information about the feelings of a human. They play an important role in human-computer interaction. In this paper, we propose a person independent facial expression recognition algorithm based on 3-Dimensional (3D) geometrical facial feature positions to classify the six basic expressions of the face: Anger, disgust, fear, happiness, sadness and surprise. T...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/16400-6069