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In this paper, a new image data hiding technique based on Discrete Wavelet Transform (DWT) is proposed. The new technique will be used for hiding a secret image S inside a cover image C using two secret keys to obtain a stego-image G. It shows high robustness against many of image processing operations such as lossy compression, blurring, cropping, median filter, sharpen, and addition of noise. The embedded secret image can be extracted with high visual quality. The stego-image is perceptually similar to the original cover image. The proposed technique does not require the original cover image to extract the embedded secret image. The comparative analysis between the proposed technique and the other existing techniques has shown the superiority of the proposed technique.

We study the problem of inferring readers' identities and estimating their level of text comprehension from observations of their eye movements during reading. We develop a generative model of individual gaze patterns (scanpaths) that makes use of lexical features of the fixated words. Using this generative model, we derive a Fisher-score representation of eye-movement sequences. We study whether a Fisher-SVM with this Fisher kernel and several reference methods are able to identify readers and estimate their level of text comprehension based on eye-tracking data. While none of the methods are able to estimate text comprehension accurately, we find that the SVM with Fisher kernel excels at identifying readers.

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