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Off-line Chinese signature verification

Off-line Chinese signature verification

引用

IEEE International Conference on image processing

作者： Jun Lin Jie-Gu Li Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780332598

In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also developed to extract timing and dynamic information indirectly from the signature image. A database of 100 genuine signatures and 50 simple forgeries was used to investigate the effectiveness of these two sets. Though shape features and high-pressure features had an error rate of 6.5% and 20.0% respectively, the collective use of these two sets reduced the error rate of simple forgery verification to 2.5%. It was concluded that combined use of static and dynamic information is an effective way for off-line Chinese signature verification.

关键词： Handwriting recognition Shape Spatial databases Forgery Timing image databases Error analysis Gravity image processing pattern recognition

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Flexible automatic visual inspection based on the separation of detection and analysis

Flexible automatic visual inspection based on the separation...

引用

International Conference on pattern recognition

作者： R. Sablatnig Department of Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria

Since the mid-1970s, a large number of visual inspection systems and algorithms for industrial inspection have been developed. To be acceptable in industry, vision systems must be inexpensive, within the speed of the production-line flow, and very accurate. Furthermore the system should be flexible enough to accommodate changes in products. This flexibility can only be achieved by a modular concept that allows a quick and inexpensive adaption of the inspection process to changes in production. This paper presents a concept for visual inspection where the detection of primitives is separated from the model-based analysis process. Existing pattern recognition software is re-used in the detection stage and therefore the use of any detection algorithm is possible without changing the analysis process. The visual inspection of analog display measuring instruments serves as a demonstration of this concept. Results concerning time, accuracy, and reliability for the specific inspection task are given at the end of the paper.

关键词： Inspection pattern recognition pattern analysis image analysis Software algorithms Algorithm design and analysis image processing Ducts Production systems Displays

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Dealing with occlusions in the eigenspace approach

Dealing with occlusions in the eigenspace approach

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Conference on Computer Vision and pattern recognition (CVPR)

作者： A. Leonardis H. Bischof Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria

The basic limitations of the current appearance-based matching methods using eigenimages are non-robust estimation of coefficients and inability to cope with problems related to occlusions and segmentation. In this paper we present a new approach which successfully solves these problems. The major novelty of our approach lies in the way how the coefficients of the eigenimages are determined. Instead of computing the coefficients by a projection of the data onto the eigenimages, we extract them by a hypothesize-and-test paradigm using subsets of image points. Competing hypotheses are then subject to a selection procedure based on the Minimum Description Length principle. The approach enables us not only to reject outliers and to deal with occlusions but also to simultaneously use multiple classes of eigenimages.

关键词： Lighting Robustness Data mining Shape Computer vision Electric breakdown pattern recognition image processing pattern matching image segmentation

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Real time implementation of an MRF-based motion detection algorithm on a DSP board

Real time implementation of an MRF-based motion detection al...

引用

IEEE Digital Signal processing Workshop

作者： C. Dumontier F. Luthon J.P. Charras Image Processing and Pattern Recognition Laboratory National Polytechnical Institute Grenoble France

ISBN: (纸本)0780336291

The main concern in image processing is computation cost. Markov random fields (MRF) based algorithms particularly require a significant computation cost. Most of implementations of this kind of algorithms are made on parallel machines. This paper investigates an original solution for real time implementation of a robust MRF-based motion detection algorithm. A PC board, based on a pipeline architecture using a single powerfull DSP and FPGA components, is developed. The algorithm and the board are described. A processing rate of 15 images per second is achieved, showing the validity of this approach.

关键词： Motion detection Computational efficiency image processing Markov random fields Parallel machines Robustness Pipelines Computer architecture Digital signal processing Field programmable gate arrays

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Complexity optimization of adaptive RBF networks

Complexity optimization of adaptive RBF networks

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Leonardis, Aleš Bischof, Horst Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 A -1040 Vienna Austria University of Ljubljana Faculty of Computer and Information Science Computer Vision Laboratory Ljubljana Slovenia

ISBN: (纸本)081867282X

We propose an extension of RBF networks which includes a mechanism for optimizing the complexity of the network. The approach involves two procedures: adaptation (training) and selection. The first procedure adaptively changes the locations and the width of the centers of the basis functions and trains the linear weights. The selection procedure performs the elimination of some of the basis functions using an objective function. By iteratively combining these two procedures we achieve a controlled way of training and modifying RBF networks, which balances accuracy, learning time, and complexity of the resulting network. © 1996 IEEE.

关键词： Radial basis function networks

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Robust stereo on multiple resolutions

Robust stereo on multiple resolutions

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13th International Conference on pattern recognition, ICPR 1996

作者： Menard, Christian Leonardis, Aleš Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 3A-1040 Vienna Austria University of Ljubljana Faculty of Computer and Information Science Computer Vision Laboratory Ljubljana Slovenia

ISBN: (纸本)081867282X

Stereo computation is one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results that cannot be corrected in subsequent postprocessing stages. In this paper we present a modification of the standard area-based correlation approach so that it can tolerate a significant number of outliers. The approach exhibits a robust behavior not only in the presence of mismatches but also in the case of depth discontinuities. The confidence measure of the correlation and the number of outliers provide two complementary sources of information which, when implemented in a multiresolution framework, result in a robust and efficient method. We present the results of this approach on a number of synthetic and real images. © 1996 IEEE.

关键词： Stereo image processing

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Choosing reference views for image-based representation 23rd

Choosing reference views for image-based representation

引用

23rd Seminar on Current Trends in Theory and Practice of Informatics, SOFSEM 1996

作者： Werner, Tomáš Hlaváč, Václav Leonardis, Aleš Pajdla, Tomáš Czech Technical University Center for Machine Perception Karlovo namesti 13 Prague 212135 Czech Republic Technical University of Vienna Institute for Image Processing and Pattern Recognition Treitlstrasse 3 WienA-1040 Austria University of Ljubljana Slovenia

ISBN: (纸本)3540619941

Recently, much attention has been devoted to image-based scene representations. They allow to construct an arbitrary view of a 3D scene by the interpolation (transfer) from a sparse set of real 2-D (reference) images, rather than by rendering an explicit 3-D model. While many authors address mainly the purely geometrical aspect of the task, we focus on the problem, how to select the optimal set of reference views. Selection of reference views from a dense set of real primary views is posed as a selection and fitting of parametric models. The selected set must minimize a weighted sum of the number of reference views and the total fit error. We propose two different algorithms solving this optimization problem. The experimental results on synthetic and real data indicate the feasibility of the approach for 1-DOF camera movement. We discuss the possibility to extend one of the algorithms for more general case. © 1996, Springer-Verlag. All rights reserved.

关键词： Three dimensional computer graphics

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On-line fingerprint verification

On-line fingerprint verification

引用

International Conference on pattern recognition

作者： A. Jain Lin Hong Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA

We describe the design and implementation of an online fingerprint verification system which operates in two stages: (i) minutia extraction and (ii) minutia matching. An improved minutia extraction algorithm that is much faster and more accurate than our earlier algorithm has been implemented. For minutia matching, an alignment-based elastic matching algorithm has been developed. This algorithm is capable of finding the correspondences between input minutiae and the stored template without resorting to exhaustive search and has the ability to adaptively compensate for the nonlinear deformations and inexact pose transformations between finger prints. The system has been tested on two sets of finger print images captured with inkless scanners. The verification accuracy is found to be over 99% with a 15% reject rate. Typically, a complete fingerprint verification procedure takes, on an average, about 8 seconds on a SPARC 20 workstation. It meets the response time requirements of on-line verification with high accuracy.

关键词： Fingerprint recognition Access control Feature extraction Flowcharts pattern recognition image processing Laboratories Computer science pattern matching System testing

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Automatic selection of reference views for image-based scene representations

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4th European Conference on Computer Vision, ECCV 1996

作者： Hlavác, Václav Leonardis, Aleš Werner, Tomáš Czech Technical University Department of Control Engineering Karlovo náměstia 13 Prague 212135 Czech Republic Technical University Vienna Department of Pattern Recognition and Image Processing Treitlstrasse 3 WienA-1040 Austria University of Ljubljana Slovenia

ISBN: (纸本)3540611223

The problem addressed in this paper is related to displaying a real 3-D scene from any viewpoint. To display a scene, a relatively sparse set of 2-D reference views is stored. The images that are in between the reference views are obtained by interpolation of coordinates and brightness (colour). This approach is able to generate the scene representation and render images automatically and efficiently even for complex scenes of 3-D objects. This is possible since the processing time does not depend on the complexity of the scene as there is no attempt to understand the semantics of images. © Springer-Verlag Berlin Heidelberg 1996.

关键词： Semantics

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Robust stereo on multiple resolutions

Robust stereo on multiple resolutions

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International Conference on pattern recognition

作者： C. Menard A. Leonardis Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria Computer and InformationScience. Computer Vision Laboratory University of Ljubljana Ljubljana Slovenia

关键词： Stereo vision Computer vision Noise robustness Information resources Correlation pattern recognition image processing Layout Cameras Laboratories

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