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Based on manifold learning, a new feature extraction method is proposed for face recognition in the paper. The new method is called two-directional two-dimensional unsupervised discriminant projection ((2D)2UDP), which simultaneously works image matrix in the row direction and in the column direction for feature extraction. The experimental results on ORL face databases and AR face databases indicate...
To speed up the segmentation procedure and improve the segmentation quality of SAR image, the paper suggests a PSOGE algorithm, which is based on particle swarm optimization and grey entropy. In the algorithm, after a filtered image and a gradient image are deduced from the origin SAR image respectively, their grey-level co-occurrence matrix is constructed. On the basis of the matrix, a grey entropy...
To overcome the adverse effect caused by shift and rotation in fingerprint matching, a new method for fingerprint minutia extraction is presented. Since the orientation field around the fingerprint core has a certain specific regularity, we extract the fingerprint reference point and reference direction based on the orientation field of the image. Then we take the reference point as the origin, and...
A flexible principle component analysis method for adaptive process monitoring based on moving window principle component analysis is presented to make a compromise between the sensitivity to fault detection and the robustness to process changes. A flexibility factor is introduced in the new method to put more emphasis on more recent data in the moving window. The feasibility and advantages of the...
In recent years, frames have been the focus of active research, both in theory and applications. In the paper, the notion of affine pseudoframes for subspaces of L2(R) is introduced. We propose the concept of a generalized multiresolution structure (GMRA). We give an approach for constructing one GMRA of Paley-Wiener subspaces of L2(R). The sufficient condition for the existence of a class of multiple...
A remote sensing image classification method is presented based on AdaBoost algorithm in this paper. To solve the resampling of patterns, a weighted version is provided. The detail of implementation about the boosting algorithm is presented as well as experiments of the application on k-means, which proves the effectiveness of the implementation proposed in this paper. Further more, classification...
Fingerprint segmentation is the important step of image preprocessing in an automatic fingerprint identification system and usually aimed to exclude background regions to reduce the time of subsequent processing and avoid detecting false features. In this paper, a hybrid algorithm based on linear classifiers for the segmentation of fingerprints is presented. The propose algorithm uses a block-wise...
Facial expression is an important communication method. Facial expression recognition has been studied in many application domains. In this paper, we study hidden Markov model (HMM) and K nearest neighbor (KNN) classifiers, and put forward a combined approach for facial expression recognition. The basic idea of this approach is to employ the HMM and KNN classifiers in a sequential way. First, the...
Specularities on the facial images have a great impact on the performance of face area segmentation, detection and recognition. In this paper, a novel automatic specularity detection and removal method is proposed. First potential specularities are detected using PI diagram which is constructed by the principal vector of image's RGB vectors and illumination intensity. Second the full areas are got...
This paper proposes a two-phase algorithm of image projection discriminant analysis. The new discriminant method is composed of feature extraction by on maximum margin criterion (MMC) and Fisher discriminant analysis (FDA). The algorithm includes two stages: firstly, the feature extraction based on maximum margin criterion (MMC) is employed to condense the dimension of image matrix; Then Fisher discriminant...
Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on the most accurate biometric feature - iris. In encryption phase, a quantified 256-dimension textural feature vector is firstly extracted from the...
Hidden Markov model (HMM) is currently the most popular approach to speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. Genetic algorithm (GA) has been used in the optimization of HMM. However, GA lacks hill-climbing capacity. A novel GA based on Tabu search (TS) called GATS is brought forward, which maintains the merits of GA and TS...
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