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This paper reviews the latest results in the field of online signature verification and summarizes the previously published major surveys and also over 30 papers from the last decade. We examine the steps of the verification process and show the most popular approaches used. Our results show that alignment and scaling are the most common methods used in preprocessing. Position, velocity, and pressure are the most commonly used measures for feature extraction while dynamic time warping is the most commonly used approach for verification. A comparison between these methods using different databases concludes this work. The error rate varies between 0.77% to 7.13%, with an average of 2.94%. The results and comparisons published in this paper may help researchers choose the most promising approaches for their systems.

The computerized verification of scanned, handwritten signatures has been extensively studied in the past decades, but there are still several possibilities for improvement in the field. To achieve better verification results, we propose a simplified probabilistic model for off-line signature verification. In our model, each of the verification steps can be mathematically described and, therefore, individually analyzed and improved. Using this model, we are able to predict the accuracy of a signature verification system based on just a few a priori known parameters, such as the cardinality and the quality of input samples. Several experiments have been conducted using our statistics-based classifier to confirm the assumptions and the results of our model. Based on the results, we can provide answers to several old questions within the field, such as why is it so hard to achieve error rates below 10% or how does the number of original samples and features affect the final error rates.

In this paper we present a number of available serialization libraries for the .NET platform, both integrated and 3rd party solutions and we analyze and compare their performance. Through this analysis and comparison we aim to deduct how the process of serialization can be further optimized and which parts of the process act as a bottleneck. The comparison also gives insight into how the data exchange format itself affects the whole process.

Object-oriented design patterns offer a structural and behavioral solution for a given problem in a given context using basic building blocks. They are widely used in software engineering as they promote extensibility, testability, maintainability and reusability. However, besides their use, their detection also has a great significance in the industry. This paper first presents a general, programming language neutral model and architecture for automated design pattern detection in object-oriented source code. To validate the recognition-capability of the framework, we implemented a version to recognize design patterns in C#. To our knowledge, this is the first work in the field that examines source code written in C#. We also discuss actual results of running this implementation on a number of class libraries. These results can later be used as reference for other works focusing on the C# programming language.

The emerging technology of cloud computing offers off-premise, reliable solutions for common IT related needs of enterprises, but as different providers often envision these solutions in a different way, architects face a complex problem when trying to decide which provider to choose and compare or estimate the costs of different options. This paper presents a generalized, provider-neutral service and cost model to describe the capabilities of different environments and the prices associated with them. This model can serve as the basis for mathematical optimization algorithms.

This paper presents a novel approach for off-line signature verification. First the different aspects and problems of signature verification are discussed in conjunction with off-line analysis methods. It is shown, that on-line analysis methods perform usually better than off-line methods because they can make use of the temporal information (and thereby get a better perception of the semantics of the signature). An assumption is made, that off-line verification methods have difficulties improving their results because of the high level of abstraction they use, which is a direct consequence of the missing semantics. Afterwards a solution is presented with the ability to preserve some semantic information, and thereby deliver a better ability to analyze the results and optimize the system.