An embedded face verification system against image degradation

In this paper, we propose an embedded face verification system against image degradation using a TMS320C6711 DSP chip. Our proposed system has several advantages over general systems in terms of price, size and applicability. As well as physical merits, it has an efficient approach for degraded facial images based on noise parameter estimation under real-life environments. The proposed method linearly combines image vector and noise parameters into one vector for training. When estimating noise parameters, we calculate the optimal coefficients of linear decomposition of an input image vector only. The noise parameters can be obtained from the linear composition step using these optimal coefficients. In contrast to conventional methods, we add the estimated noises to original images instead of removing them. Finally we perform a verification step with the input and synthesized image. The experimental results of this system show that the proposed method can estimate noise parameters accurately while improving the performance of photo image verification.