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It is important for improving the performance of automatic fingerprint identification system to estimate the ridge distance accurately. The traditional Fourier transform spectral analysis method had the worse redundancy degree in estimating the ridge distance because it was based on the two-dimension discrete Fourier spectrum. The statistical window method(More)
Fingerprint image segmentation is one key step in Automatic Fingerprint Identification System (AFIS), and how to do it faster, more accurately and more effectively is important for AFIS. This paper introduces the Markov Chain Monte Carlo (MCMC) method and the Genetic Algorithm (GA) into fingerprint image segmentation and brings forward a fingerprint image(More)
In web mining, there are situations in which only few data is labeled which imposes difficulties on traditional web page classification algorithms. Active learning scheme is then proposed to sample the most representative unlabeled data, which are then annotated by external oracles. Most present active methods are based on series-mode query strategy, which(More)
Semi-supervised learning plays an important role in large-scale machine learning. Properly using additional unlabeled data (largely available nowadays) often can improve the machine learning accuracy. However, if the machine learning model is misspecified for the underlying true data distribution, the model performance could be seriously jeopardized. This(More)
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