Open Access
Face recognition using principle component analysis, eigenface and neural network
Mayank Agarwal,Nikunj Jain,Manish Kumar,Himanshu Agrawal +3 more
- pp 204-208
Reads0
Chats0
TLDR
In this paper, the authors presented a methodology for face recognition based on information theory approach of coding and decoding the face image, the proposed methodology is connection of two stages - Feature extraction using principle component analysis and recognition using the feed forward back propagation Neural Network.Abstract:
Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed methodology is connection of two stages - Feature extraction using principle component analysis and recognition using the feed forward back propagation Neural Network.
The algorithm has been tested on 400 images (40 classes). A recognition score for test lot is calculated by considering almost all the variants of feature extraction. The proposed methods were tested on Olivetti and Oracle Research Laboratory (ORL) face database. Test results gave a recognition rate of 97.018%.read more
Citations
More filters
Journal ArticleDOI
DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets
TL;DR: A novel distributed picture fuzzy clustering method on picture fuzzy sets so-called DPFCM is presented and experimental results on various datasets show that the clustering quality of DP FCM is better than those of CDFCM and relevant algorithms.
Journal ArticleDOI
Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images
TL;DR: This paper presents a method that combines face and iris biometric traits with the weighted score level fusion technique to flexibly fuse the matching scores from these two modalities based on their weight availability.
Journal ArticleDOI
Face recognition using transform domain feature extraction and PSO-based feature selection
TL;DR: In this paper, two new techniques, viz., DWT Dual Subband Frequency Domain Feature Extraction (DDFFE) and Threshold-Based Binary Particle Swarm Optimization (ThBPSO) feature selection, were proposed to improve the performance of a face recognition system.
Journal ArticleDOI
Influence of low resolution of images on reliability of face detection and recognition
TL;DR: In this paper, the reliability of real-time system for face detection and recognition from low-resolution images, e.g., from video monitoring images, has been analyzed, and an influence of the resolution reduction on the FAR/FRR of the recognition is presented.
Journal ArticleDOI
Brainwave-driven human-robot collaboration in construction
TL;DR: A worker-centered collaborative framework is proposed that enables robots to capture workers' brainwaves from wearable electroencephalograph, evaluate their task-related cognitive load, and adjust the robotic performance accordingly to create a harmonized, safe HRC.
References
More filters
Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Journal ArticleDOI
Application of the Karhunen-Loeve procedure for the characterization of human faces
Michael Kirby,Lawrence Sirovich +1 more
TL;DR: The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion, which results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix.
Journal ArticleDOI
Low-dimensional procedure for the characterization of human faces
Lawrence Sirovich,Michael Kirby +1 more
TL;DR: In this article, a method for the representation of (pictures of) faces is presented, which results in the characterization of a face, to within an error bound, by a relatively low-dimensional vector.
Proceedings ArticleDOI
Feature extraction from faces using deformable templates
TL;DR: A method for detecting and describing the features of faces using deformable templates is described, demonstrated by showing deformable template detecting eyes and mouths in real images.
Proceedings ArticleDOI
A feature based approach to face recognition
TL;DR: A feature-based approach to face recognition in which the features are derived from the intensity data without assuming any knowledge of the face structure is presented.