Paper Info
Title
Corrupted Face Image Authentication Based on Noise Model
Abstract
In this paper, we propose a method for authenticating corrupted face images based on noise model. The proposed method first generates corrupted images by controlling noise parameters in the training phase. The corrupted image and noise parameters are represented by a linear combination of prototypes of the corrupted images and the noise parameters. With the corrupted image, we can estimate noise parameters of the corrupted image in the testing phase. Then, we can make a synthesized face image from the original face image with the estimated noise parameters and verify it with the corrupted face image. Our experimental results show that the proposed method can estimate noise parameters accurately and improve the performance of face authentication.
Year
DOI
Venue
2004
10.1007/978-3-540-25948-0_26
BIOMETRIC AUTHENTICATION, PROCEEDINGS
Field
DocType
Volume
Computer vision,Linear combination,Facial recognition system,Authentication,Computer science,Smart card,Model-based reasoning,Image processing,Artificial intelligence
Conference
3072
ISSN
Citations 
PageRank 
0302-9743
2
0.37
References 
Authors
7
4
Name
Order
Citations
PageRank
Ho-Choul Jung1131.68
Bon-Woo Hwang217716.33
Sang-woong Lee314218.62
Seong-Whan Lee43756343.90