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This paper combines keystroke dynamics features with recently proposed keystroke acoustic features for user identification and authentication. Traditional keystroke dynamics uses temporal features. This paper explores the discriminative capability of the fusion of temporal features and acoustic features. This paper also explores the influence of filtering keystroke sound which turns out to be harmful...
Two-dimensional principal component analysis (2DPCA) is a kind of image feature extraction method. The algorithm based on image matrix as the analysis object, before the image feature extraction, it can deal with image data directly and does not need dimension reduction. It process image data without step of vectorization. Although 2DPCA algorithm reduces the computational complexity, it takes up...
In order to overcome """"semantic gap"""" between bottom features and high-level semantic in the image retrieval, this paper introduces the echo state network to strengthen the mapping between the high-level vision content and the bottom visual feature and designs a feedback category screening strategy. We extract the feature of the queried image and get the...
Detecting vehicles from video sequence is very challenging due to the wide varieties of vehicle appearances and the complexity of the backgrounds. At present, many algorithms in the image recognition have a narrow applicability and a weak real-time. Aiming at this problem, a recognition method which was combined by features extraction using Gabor wavelet and BP neural network algorithm for the classification...
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