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Proceedings ArticleDOI

Biometric applications based on handwriting

F. Ramann, +2 more
- Vol. 2, pp 573-576
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TLDR
A new classification scheme is built for one particular biometric scheme, handwriting, to give individual users with a specific application in mind orientation and a decision tool.
Abstract
A wide variety of biometric based techniques have been proposed but it is quite difficult to classify the approaches according to their application domains and to measure their functionality. Our intention is to classify today's applications in detail for one particular biometric scheme, handwriting. To give individual users with a specific application in mind orientation and a decision tool, we have built a new classification scheme and furthermore define major characteristics for each of the application classes as an evaluation matrix.

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Citations
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Behavioural biometrics: a survey and classification

TL;DR: A survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks.
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A model-based approach to offline text-independent Arabic writer identification and verification

TL;DR: This paper proposes a grapheme-based approach to offline Arabic writer identification and verification that showed better properties than most of the surveyed techniques in terms of supported corpus size and identification rates, and demonstrated the wide representativity and the good generalization capability of synthetic codebooks.
Book ChapterDOI

Taxonomy of Behavioural Biometrics

TL;DR: This chapter presents a taxonomy of the latest behavioural biometrics, including some future oriented approaches, and addresses privacy issues which arise or might arise in the future with the use of behavioural biometric approaches.
Proceedings ArticleDOI

A test tool to support brute-force online and offline signature forgery tests on mobile devices

TL;DR: First experimental results are presented, which indicate that by applying the presented system in attack tests, forgeries of gradual quality can be obtained from test persons.
Book ChapterDOI

Cloud-Ready Biometric System for Mobile Security Access

TL;DR: An application that allows a mobile phone to be used as a biometric-capture device for secure access to the cloud using Hadoop, an open source cloud computing environment, to establish the connection between mobile user and server in the cloud via Ethernet, WiFi or 3G.
References
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Journal ArticleDOI

Online and off-line handwriting recognition: a comprehensive survey

TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
Journal ArticleDOI

Automatic signature verification and writer identification — the state of the art

TL;DR: A survey of the literature on automatic signature verification and writer identification by computer, and an overview of achievements in static and dynamic approaches to solving these problems, with a special focus on preprocessing techniques, feature extraction methods, comparison processes and performance evaluation.
Journal ArticleDOI

Automatic signature verification: the state of the art—1989–1993

TL;DR: This paper summarizes the activity from year 1989 to 1993 in automatic signature verification and reports on the different projects dealing with dynamic, static and neural network approaches.
Proceedings ArticleDOI

Comparing adaptation techniques for on-line handwriting recognition

TL;DR: An online handwriting recognition system with focus on adaptation techniques that can be adapted to the writing style of a new writer using either a retraining depending on the EM (expectation maximization)-approach or an adaptation according to the MAP or MLLR (maximum likelihood linear regression)-criterion.
Proceedings ArticleDOI

Strategies for combining on-line and off-line information in an on-line handwriting recognition system

TL;DR: This paper investigates the cooperation of online and off-line handwriting word recognition systems and proposes a formal framework, which allows describing different strategies for combining the two HMM.