Face recognition for human identification through integration of complex domain unsupervised and supervised frameworks
Human identification can be performed through various available biometric traits such as the
face, iris, fingerprint, ECG, gait, and ear. Among them, face is one of the most popular and …
face, iris, fingerprint, ECG, gait, and ear. Among them, face is one of the most popular and …
[PDF][PDF] Performance Evaluation of Face Recognition based on the Fusion of Bit-Plane and Binary Image Compression Techniques using Euclidean Distance Classifier
Personal identification based on face recognition is receiving extensive attention over the
last few years in both research and real-time applications due to increasing emphasis on …
last few years in both research and real-time applications due to increasing emphasis on …
Face Recognition Method Based on Adaptive Feature Fusion
P Yan, Z Zhang - … Conference on 3D Immersion, Interaction and …, 2022 - ieeexplore.ieee.org
The rapid development of computer software and hardware technology has laid a very solid
foundation for computer vision tasks such as target recognition that use images as input …
foundation for computer vision tasks such as target recognition that use images as input …
[PDF][PDF] Development of Hybrid Learning Machine with Complex Domain Neurocomputing
S Srivastava, BK Tripathi - inass.org
This paper presents a hybrid learning machine for human identification which is an
amalgamation of eigenface method, fisherface method, genetic fuzzy distribution and …
amalgamation of eigenface method, fisherface method, genetic fuzzy distribution and …