Degraded Image Analysis: An Invariant Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Robust De-noising by Kernel PCA
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Journal of Cognitive Neuroscience
Robust features for frontal face authentication in difficult image conditions
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Performance evaluation of face recognition algorithms on the asian face database, KFDB
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
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In this paper, we propose a method of authenticating corrupted photo images based on noise parameter estimation and implement an authentication system using TMS320C6711 DSP chip. The proposed method first generates corrupted images and the noise parameters in the training phase. With a corrupted image and an original image, the noise parameters of the corrupted photo image can be estimated in the testing phase. Finally, we can make a synthesized photo image from the original photo image using the estimated noise parameters. We made some experiments on the prototype of the stand-alone system to verify the performance of the proposed method and to apply for real-life applications. The experimental results on this system show that the proposed method can estimate the noise parameters accurately and improve the performance of photo image authentication.