Improved Fisher Face Approach for Human Recognition System using Facial Biometrics
نویسنده
چکیده
In this paper, a person is identified with face as a biometric feature using modified fisher face and fuzzy fisher face. The premise of this paper is to introduce modified fisher face, fuzzy fisher face and include gradual level of assignment to class being regarded as a membership grade which helps to improve recognition results. Performance of the said system is compared with traditional fisher face methods using Fisher’s linear discriminant analysis. For all these methods of face recognition an assumption was made about the same level of relevance of each face to the corresponding category. The comprehensive experiments completed on ORL, and Yale face databases show improved recognition rates and reduced sensitivity to variations between face images caused by changes in illumination and viewing directions. Keywords—linear discriminant analysis, fisher face, fuzzy fisher face, face recognition
منابع مشابه
Hybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition
Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...
متن کاملMulti-Model Biometrics Authentication System
Multi-model Biometrics authentication system have mainly two authentication process, face identification and signature verification. Facial expressions are a valuable source of information that accompanies facial biometrics. Early detection of physiological and psycho-emotional data from facial expressions is linked to the situational awareness module of any advanced biometric system for person...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملFace recognition based on eigen features of multi scaled face components and an artificial neural network
Face recognition has been a very active research area in the past two decades. Many attempts have been made to understand the process how human beings recognize human faces. It is widely accepted that face recognition may depend on both componential information (such as eyes, mouth and nose) and non-componential/holistic information (the spatial relations between these features), though how the...
متن کاملRandom subspace for an improved BioHashing for face authentication
Verification based on tokenised pseudo-random numbers and user specific biometric feature has received much attention. In this paper, we propose a BioHashing system for automatic face recognition based on Fisher-based Feature Transform, a supervised transform for dimensionality reduction that has been proved to be very effective for the face recognition task. Since the dimension of the Fisher-b...
متن کامل