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Splicing detection is of fundamental importance in digital image forensics. Recent image forensic research has resulted in a number of tampering detection techniques utilizing statistical features. Fusion of multiple features provides promises for improving detection performance. In this paper, we propose a new splicing detection approach based on the features utilized for steganalysis. We merge Markov...
It has been shown that the fuzzy integral is an effective tool for the fusion of multiple classifiers. Of primary importance in the development of the system is the choice of the measure which embodies the importance of subsets of classifiers. In this paper we propose a method for a dynamic fuzzy measure which will change following the pattern to be classified (data dependent). This method uses the...
Double image compression might occur if the image has been tampered with or embedded into secret data. It is essential to detect double compression for image forensics and blind steganalysis. This paper analyzes the statistical difference in the sub-band DWT (discrete wavelet transform) coefficient histograms between single and double JPEG 2000 compression; devises a scheme to discriminate between...
In this paper, we propose a new edge-based text verification approach for video. Based on the investigation of the relation between candidate blocks and their neighbor areas, the proposed approach first detects background edges in candidate blocks, then erases them by an edge tracking technique, and finally the candidate blocks containing too few remaining edges are eliminated as false alarms. Three...
The paper addresses a novel, fast and low complexity gaze tracking method, which remedies computation complexity and real-time processing problems of most existing gaze tracking methods. Face images are captured and pre-processed under infrared lamp-houses with dual thresholds. Pupil area is verified by the run-length in eight directions, and the gaze point is located by mapping the vectors of pupil...
Extracting effective and reliable features is fundamental and critical for constructing target recognition systems. Flexible Feature Processing Mechanism emphasizes the integration of feature extraction arithmetic and the self-adaptation of feature selection. On one hand, it would try to dig up the valuable information on as many as possible aspects, so as to construct the feature extraction method...
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