An Introduction to Face Recognition Technology

@article{Lin2000AnIT,
  title={An Introduction to Face Recognition Technology},
  author={Shang-Hung Lin},
  journal={Informing Sci. Int. J. an Emerg. Transdiscipl.},
  year={2000},
  volume={3},
  pages={1-7}
}
  • Shang-Hung Lin
  • Published 2000
  • Computer Science
  • Informing Sci. Int. J. an Emerg. Transdiscipl.
Introduction In today's networked world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult. From time to time we hear about the crimes of credit card fraud, computer break-in's by hackers, or security breaches in a company or government building. In the year 1998, sophisticated cyber crooks caused well over US $100 million in losses (Reuters, 1999). In most of these crimes, the criminals were taking advantage… Expand
A Survey : Face Recognition Techniques
TLDR
An overview of some of the wellknown methods in various categories of face recognition, which has wide range of applications such as law enforcement, banking, logical access control, national identity. Expand
Face Recognition Using Neural Network
3 Chapter 1 Introduction 1.1 Background: Identification is an action of recognizing or being recognized, in particular, identification of a thing or person from previous exposures or information.Expand
Antispoofing Methods for Authenticating Live Users in Biometric System
In today’s e-commerce world the e-business application require a very high level of authentication, as the existing traditional authenticating methods such as username, password, identity card etcExpand
Face recognition for criminal identification: An implementation of principal component analysis for face recognition
TLDR
An automated facial recognition system for criminal database was proposed using known Principal Component Analysis approach, which will be able to detect face and recognize face automatically and show that about 80% of input photo can be matched with the template data. Expand
Low cost automated facial recognition system
TLDR
The proposed facial recognition system is efficient as well as low-cost which not only recognizes the faces but also automates the task of alerting the user through e-mail and mobile notification so that no human intervention is required to alert the police. Expand
An Efficient Method for Identification of Faces for 2D Images
The experiment is one of the rare biometric methods that possess the merits of both high and low accuracy. It has the accuracy of a physiological approach without being intrusive. This paper involvesExpand
DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS
TLDR
Application of the developed system of fuzzy production rules that allow predicting changes in individuals over time, will improve the recognition accuracy, reduce the number of authentication failures and improve the efficiency of information processing and decision-making in applications. Expand
Designing Facial Recognition System Using Combo Approach
Biometrics is used to establish personal authenticity and to detect impostors. The present circumstances around us demand increased level of security and so its importance is growing in the presentExpand
Implementation of an Efficient Access Control System
This paper describes hybrid access control system based on a new approach of face recognition and PIN (Personal Identification Number) code identification, which is done by finding the closest matchExpand
Face Recognition in Mobile Devices
TLDR
All calculations done on a mobile phone, in which a small number of images were used for testing the system, show system accuracy is 92% for appropriately chosen threshold, and system accuracy can increase when database size increased. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 17 REFERENCES
Human and machine recognition of faces: a survey
TLDR
A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community. Expand
Face recognition/detection by probabilistic decision-based neural network
TLDR
The paper demonstrates a successful application of PDBNN to face recognition applications on two public (FERET and ORL) and one in-house (SCR) databases and experimental results on three different databases such as recognition accuracies as well as false rejection and false acceptance rates are elaborated. Expand
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
TLDR
A face recognition algorithm which is insensitive to large variation in lighting direction and facial expression is developed, based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variations in lighting and facial expressions. Expand
Distortion Invariant Object Recognition in the Dynamic Link Architecture
TLDR
An object recognition system based on the dynamic link architecture, an extension to classical artificial neural networks (ANNs), is presented and the implementation on a transputer network achieved recognition of human faces and office objects from gray-level camera images. Expand
Rotation invariant neural network-based face detection
  • H. Rowley, S. Baluja, T. Kanade
  • Computer Science
  • Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231)
  • 1998
TLDR
This paper presents a neural network-based face detection system, which is limited to detecting upright, frontal faces, and presents preliminary results for detecting faces rotated out of the image plane, such as profiles and semi-profiles. Expand
Face recognition: eigenface, elastic matching, and neural nets
TLDR
Analysis and experimental results indicate that the eigenface algorithm, which is essentially a minimum distance classifier, works well when lighting variation is small but deteriorates significantly as lighting variation increases. Expand
View-based and modular eigenspaces for face recognition
TLDR
A modular eigenspace description technique is used which incorporates salient features such as the eyes, nose and mouth, in an eigenfeature layer, which yields higher recognition rates as well as a more robust framework for face recognition. Expand
Face Recognition: Features Versus Templates
Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and theExpand
3-D Motion Estimation in Model-Based Facial Image Coding
TLDR
Simulations with long image sequences of real-world scenes indicate that the approach to estimating the motion of the head and facial expressions in model-based facial image coding not only greatly reduces computational complexity but also substantially improves estimation accuracy. Expand
Learning a distribution-based face model for human face detection
  • K. Sung, S. Poggio
  • Computer Science
  • Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing
  • 1995
TLDR
This work presents a distribution-based modeling cum example-based learning approach for detecting human faces in cluttered scenes and shows how explicitly modeling the distribution of certain "facelike" nonface patterns can help improve classification results. Expand
...
1
2
...