[PDF] Top 20 Fuzzy Shannon Entropy for Face Recognition

... the entropy to be small. The smaller values of entropy results in lesser discriminating power in solving the ...the Shannon entropy function (Shannon 1948) expressed as this local ... See full document

... facial recognition using fuzzy theory and Shannon ...of fuzzy theory and Shannon entropy eliminates the complication of other ...methods. Shannon entropy calculates ... See full document

... for face recognition using binary and edge images is established, which is easy to compute and occupies less memory space has been proposed in this ...good recognition rate on Faces94 and Senthil ... See full document

... Rényi Entropy; Face Recognition 1. INTRODUCTION Face recognition has becoming a research hotspot in the fields of image processing, pattern recognition and arti- ficial ... See full document

... b School of Business IT & Logistics, RMIT University, GPO Box 2476, Melbourne VIC 3001 Australia. c Faculty of Management and Accounting, Islamic Azad University (IAU), Qazvin branch, Qazvin, 34185-1416, Iran Abstract ... See full document

... of fuzzy sets which are statistically based upon the probability density ...a fuzzy entropy ...and fuzzy index as well as Civanlar and Trussell’s approach, and applied to an image processing ... See full document

... robust face recognition methodology which is invariant to changes in pose, illumination and expressions as ...Kernel Entropy Component Analysis based on Gaussian non- additive entropy ...used ... See full document

... Abstract: Face detection is the first step of any automated face recognition ...a fuzzy system for detecting skin in color images, so that each color tone is assumed to be a fuzzy ... See full document

... the face of up to ...the recognition performances of the four methods: PCA, LDA, LDE and ...average recognition accuracy and the average CPU time(s) consumed of the four methods, which corresponds to ... See full document

... holistic face recognition approach of gray intensity still image, namely Fuzzy Moment Discriminant Analysis is ...using Fuzzy K-Nearest Neighbor, after that, the membership degrees have been ... See full document

... image recognition, including faces, and objects recognition, and the diag- nosis of medical ...a face recognition solution using transfer learning with pre-trained ...to face ... See full document

... years, face recognition has become a popular area of research in image analy- sis and one of the most successful applications of machine learning and ...image recognition, several techniques are ... See full document

... for face recognition is perhaps variability in lighting ...a face recognition which is insensitive to large variation in ...utilized Fuzzy Linear Discriminant Analysis (FLDA) in feature ... See full document

... era, face recognition has found a lot of importance in biometrics ...technology. Face is an important part of a person which can be used to verify one’s ...science, face sketch ... See full document

... of fuzzy based pixel wise information extraction (FPIE) for face ...of face images to different classes and thus collects pixel wise belonging to different classes to reduce classification ...our ... See full document

... used in the equations of the degrees of certainty. The quantum phenomenon of the superposition of states is explicitly expressed through the equations and the representation in which two observers are active. This ... See full document

... signals. Entropy is a physical quantity that expresses the disorder degree of molecular state in thermodynamics at ...quantified. Entropy can be understood as the probability of occurrence of certain ...the ... See full document

... the obtained sets and concatenated as in the traditional scheme. It is a very simple idea in which the local pat- terns are associated with their semantic meaning instead of their spatial position only. This strategy ... See full document

... 93% 98% The proposed technique has used curvelet coefficients for getting a compact representation of faces. The statistical feature extraction of the Curvelet coefficients and utilization of the coefficients in ... See full document

... Proposed fuzzy generalized two- dimensional linear discriminant analysis (FG-2DLDA) method Human faces are highly susceptible to vary under different environmental conditions, such as illumination, pose, ...of ... See full document