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Verbose Author Index: "Steinmetz, Ralf"
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[VS04]
"Handwriting: Feature Correlation Analysis for Biometric Hashes,"
Claus Vielhauer and Ralf Steinmetz,
EURASIP Journal on Applied Signal Processing, vol. 4, 2004, pp. 542-558.
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Keyword(s): biometrics, handwriting
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Abstract:
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In the application domain of electronic commerce, biometric authentication can provide one
possible solution for the key management problem.
Besides server-based approaches, methods of deriving digital keys directly from biometric measures
appear to be advantageous.
In this paper, we analyze one of our recently published specific algorithms of this category based
on behavioral biometrics of handwriting, the biometric hash.
Our interest is to investigate to which degree each of the underlying feature parameters
contributes to the overall intrapersonal stability and interpersonal value space.
We will briefly discuss related work in feature evaluation and introduce a new methodology based
on three components: the intrapersonal scatter (deviation), the interpersonal entropy,
and the correlation between both measures.
Evaluation of the technique is presented based on two data sets of different size.
The method presented will allow determination of effects of parameterization of the biometric system,
estimation of value space boundaries, and comparison with other feature selection approaches.
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Bibtex:
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@article{VS04,
author = "Claus Vielhauer and Ralf Steinmetz",
title = "Handwriting: Feature Correlation Analysis for Biometric Hashes",
journal = "EURASIP Journal on Applied Signal Processing",
volume = 4,
year = 2004,
pages = "542-558",
}
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[VSM01]
"Transitivity Based Enrollment Strategy for Signature Verification Systems,"
Claus Vielhauer, Ralf Steinmetz, and Astrid Mayerhofer,
Proceedings of the Sixth International Conference on Document Analysis and Recognition,
Seattle, WA, Sept. 2001, pp. 1263-1266.
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Keyword(s): biometrics, handwriting
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Abstract:
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The enrollment phase of signature verification systems is a critical process,
in which reference data of user is acquired, that needs to be satisfying quality without
overloading the subject by asking for too many repetitions.
Many signature verification systems do not perform an enrollment quality evaluation at all,
or only after capturing a fixed number of samples, accepting or rejecting the whole reference set.
To limit the number of rejections and as such the False- Enrollment-Rate (FER),
we propose a new algorithm for sample adaptive quality evaluation during the enrollment process.
This algorithm is based on transitivity criteria within a set of multidimensional reference vectors.
We will show that our approach leads to a significant reduction of FER.
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Bibtex:
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@inproceedings{Vielhauer01,
author = {C. Vielhauer and R. Steinmetz and A. Mayerhofer},
title = {Transitivity Based Enrollment Strategy for Signature Verification Systems},
booktitle = {Proceedings of the Sixth International Conference on Document Analysis and Recognition},
pages = {1263-1266},
year = {2001},
}
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Comment(s):
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By Dishant on August 18, 2005:
This paper proposes a new sample adaptive quality algorithm which reduces the number of false enrollment rate during the enrollment process in Signature verification systems. The preliminary results show that the above mentioned algorithm can also be used for Handwriting verification systems.
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[VSM02]
"Biometric Hash based on Statistical Features of Online Signatures,"
Claus Vielhauer, Ralf Steinmetz, and Astrid Mayerhofer,
Proceedings of the Sixteenth International Conference on Pattern Recognition,
vol. 1, August 2002, pp. 123-126.
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Keyword(s): biometrics, handwriting
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Bibtex:
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@inproceedings{Vielhauer02,
author = {C. Vielhauer and R. Steinmetz and A. Mayerhofer},
title = {Biometric hash based on statistical features of online signatures},
booktitle = {Proceedings of the Sixteenth International Conference on Pattern Recognition},
volume = {1},
pages = {123-126},
year = {2002},
}
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Comment(s):
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By Dishant on August 18, 2005:
This paper presents a new approach of generating hash values from Online signatures in Online Signature verification systems. The advantage of this approach is that there is no need to store reference samples of signatures taken during enrollment phase. This approach can be useful in systems in which key management strategies are required as key can be directly generated from biometric hash.
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