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This paper proposes a feature fusion based method for JPEG double compression detection. When extracting the fusion features, the Markov model of the first digits of DCT coefficients and the difference of adjacent coefficients extracted from JPEG images are fused to a big feature vector, and then the Sammon mapping method is applied for dimensionality reduction. Finally, the Support Vector Machine...
For purpose of solving the imperfect problems of SIFT method those lack of edge feature detect and low identification rate, the paper propose the integration of the SIFT and edge direction histogram method, and discusses how to use edge direction histogram on the basis of the SIFT feature vector matching to product edge direction difference values further more carry out the seal identification, by...
Liveness check through measuring synchrony between the lip and the voice in video sequence has been proved to be a feasible way to prevent spoofing attacks. The generic methods utilize degree of audiovisual correlation to judge consistency. However, little attention is paid to the audiovisual time drift difference between live recordings and fraudulent attacks. In this paper, the time shift difference...
The enterprise alliance is consistently leading to the construction of cross-enterprise information system. The research of SOA (Service Oriented Architecture)- based SCM (Supply Chain Management) and modern information technology has become a hot topic. Especially, the secure design and deployment related to SCM brings attention from industrial world and is becoming to research focus. This paper...
This paper proposes a channel pattern noise based approach to guard speaker recognition system against playback attacks. For each recording under investigation, the channel pattern noise severs as a unique channel identification fingerprint. Denoising filter and statistical frames are applied to extract channel pattern noise, and 6 Legendre coefficients and 6 statistical features are extracted. SVM...
In the field of speaker clustering, most of the clustering algorithms rely heavily on the pre-given thresholds, which is hard work to get the optimal values. This paper proposed a speaker clustering algorithm based on tracing the minimal Bhattacharyya distance between two Gaussian Mixture Models (GMMs), without any pre-given thresholds. In the procedure of clustering, if utterance set A and B has...
Based on analyses of characteristic differences between various audio events, a two-level approach is proposed for detecting three non-lexical audio events (filled pause, laugh, and applause) in spontaneous odel-based decision. The experiments give average precision of 87.3%, recall of 93.77%, and F-measure of 90.42%. Compared with the sliding window based approach, average F-measure is improved by...
A novel stress-sensitive nanocomposite that can be used as flexible force sensors with tailored sensitivity was fabricated. The nanocomposite consists of MWNTs as conductive filler and SBS as polymer matrix. Some electrical and mechanical properties of MWNT/SBS films were measured. A typical percolation phenomenon was observed with the MWNT/SBS composites. The elastic modulus and Poisson's ratio of...
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