In this paper a proficient posture invariant face recognition framework utilizing PCA and AI
has been proposed. The peculiarities of an image under test have been extracted utilizing …

In this paper, an efficient pose invariant face recognition system using PCA and ANFIS (PCA–
ANFIS) has been proposed. The features of an image under test have been extracted using …

Utilizing a stocked up database of faces, Face recognition recognizes or verifies one or else
more individuals in the specified still or else video images of a scene. This is owing to its …

In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed.
Here adaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy …

In the proposed work introduced a pose-invariant face recognition process for the videos so
as todiminish the calculation intricacy of the traditional technique. The intended approach …

Face recognition presents a challenging problem in the field of image analysis and
computer vision. Different video sequences of the same subject may contain variations in …

In this thesis, we have developed and validated the hybrid combination of nature inspired
algorithms namely BPSO, PSO Neural network, SVM, CBFR, CNN, PIFR algorithms. The …

In this paper a new hybrid approach using PCA for pose invariant face recognition is
proposed. In this proposed approach three algorithms are combined to make a new hybrid …

Objectives: To suggest an efficient pose invariant face recognition system (PCA-ANFIS)
based on PCA and ANFIS. Methods: Using a dual-tree complex wavelet transform …

Due to the rapid evolution of modern image processing and pattern recognition techniques,
there exists a variety of biometric techniques like fingerprints, iris (retina) scans, and speech …