Showing papers in "Pattern Recognition in 2002"

TL;DR: The various applications of neural networks in image processing are categorised into a novel two-dimensional taxonomy for image processing algorithms and their specific conditions are discussed in detail.

TL;DR: Experiments on a database containing a total of 1232 signatures of 102 individuals show that writer-dependent thresholds yield better results than using a common threshold.

TL;DR: A new method to detect and count bright spots in fluorescence images coming from biological immunomicroscopy experiments is presented, based on the multiscale product of subband images resulting from the a trous wavelet transform decomposition of the original image, after thresholding of non-significant coefficients.

TL;DR: This article presents a detailed review of some of the most used calibrating techniques in which the principal idea has been to present them all with the same notation.

TL;DR: This AFCM algorithm has successfully been used in segmenting the magnetic resonance image of Ophthalmology to differentiate the abnormal tissues from the normal tissues and is recommended for use in cluster analysis.

TL;DR: This paper considers invariant texture analysis, and approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed.

TL;DR: The searching capability of genetic algorithms has been exploited for automatically evolving the number of clusters as well as proper clustering of any data set and the proposed technique is able to distinguish some characteristic landcover types in the image.

TL;DR: The proposed distance measure has the advantage over the traditional distance measures regarding the overlap between two distributions; it takes the similarity of the non-overlapping parts into account as well as that of overlapping parts.

TL;DR: Four different fingerprint matching algorithms are combined using the proposed scheme to improve the accuracy of a fingerprint verification system and it is shown that a combination of multiple impressions or multiple fingers improves the verification performance by more than 4% and 5%, respectively.

TL;DR: This paper presents a comprehensive survey of the use of these pattern recognition methods which enable image and video retrieval bycontent in the media archives.

TL;DR: Biometrics authentication systems suffer from some inherent biometrics-specific security threats, mainly related to the use of digital signals and the need for additional input devices, though the also discuss brute-force attacks of biometric systems.

TL;DR: This paper uses tabu search to solve this feature selection problem and compares it with classic algorithms, such as sequential methods, branch and bound method, etc., and most other suboptimal methods proposed recently.

TL;DR: A new method to authenticate individuals based on palmprint identification and verification using a texture-based dynamic selection scheme to facilitate the fast search for the best matching of the sample in the database in a hierarchical fashion is described.

TL;DR: This survey is divided into two parts, the first one dealing with the general aspects of Cursive Word Recognition, the second one focusing on the applications presented in the literature.

TL;DR: A new method of combining Orthogonal Fourier–Mellin moments (OFMMs) with centroid bounding circle scaling is introduced, which is shown to be useful in characterizing images with large variability.

TL;DR: This paper presents an approach that integrates a potentially powerful fuzzy rule induction algorithm with a rough set-assisted feature reduction method, and the integrated rule generation mechanism maintains the underlying semantics of the feature set.

TL;DR: It is shown that a state-of-the-art automatic fingerprint verification system can successfully distinguish identical twins though with a slightly lower accuracy than nontwins.

TL;DR: This paper proposes a least-squares solution method using Householder Transformation to find a new representation of face recognition using independent component analysis and demonstrates that not all ICs are useful for recognition.

TL;DR: In this article, a novel principal component analysis (PCA) technique directly based on original image matrices is developed for image feature extraction, which is more powerful and efficient than conventional PCA and FLD.

TL;DR: The experimental results demonstrate that the HOB can find homogeneous regions more effectively than HIB does, and can solve the problem of discriminating shading in color images to some extent.

TL;DR: Three procedures, based on curvature coefficient, bi-quadratic interpolation and gradient vector interpolation, are proposed for calculating the curvature of the equi-gray scale curves of an input image to improve the accuracy of handwritten numeral recognition.

TL;DR: This paper compares the strengths and weaknesses of model-based and adaptive techniques, and argues that further advances in the field are likely to involve the increasing use of techniques from the field of artificial intelligence.

TL;DR: The problem of where to place the cameras in order to obtain a minimal error in the 3D measurements, also called camera network design in photogrammetry, is dealt with in terms of an optimization design using a multi-cellular genetic algorithm.

TL;DR: Two e5ective techniques are developed, namely, template condensing and preprocessing, to speed up k-NN classi"cation while maintaining the level of accuracy, and one of the case studies shows that the incorporation of these two techniques to k-nn rule achieves a seven-fold speed-up without sacri"cing accuracy.

TL;DR: The robustness of the CSS representation under general affine transforms is examined and its performance is compared with the performance of two well-known methods, namely Fourier descriptors and moment invariants.

TL;DR: This work begins with a filter model, exploiting the geometrical information contained in the minimum spanning tree (MST) built on the learning set, which leads to a feature selection algorithm belonging to a new category of hybrid models ( filter-wrapper).

TL;DR: In this article, an optimal 2-D Gabor filter response maximizes a Fisher cost function to discriminate defective texture pixels from non-defective texture pixels, and the results of this optimised Gabor filtering scheme are presented for 35 different flawed homogeneous textures.

TL;DR: Two new maximum likelihood motion estimation schemes for ultrasound images are presented, based on the assumption that both images are contaminated by a Rayleigh distributed multiplicative noise, which enables motion estimation in cases where a noiseless reference image is not available.

TL;DR: A two pass algorithm for the segmentation and decomposition of Devanagari composite characters/symbols into their constituent symbols and a recognition rate has been achieved on the segmented conjuncts.

TL;DR: An algorithm for a rotation invariant template matching method based on the combination of the projection method and Zernike moments is proposed and it is proposed that the matching candidates are selected using a computationally low cost feature.