| 1. |
- Alonso-Fernandez, Fernando, et al.
(author)
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Automatic Measures for Predicting Performance in Off-line Signature
- 2007
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Conference paper (peer-reviewed)abstract
- Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a particular sample of interest is specially useful, and can be exploited in a number of ways. In this paper, we present two automatic measures for predicting the performance in off-line signature verification. Results obtained on a sub-corpus of the MCYT signature database confirms a relationship between the proposed measures and system error rates measured in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR). © 2007 IEEE.
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| 2. |
- Alonso-Fernandez, Fernando, et al.
(author)
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Impact of signature legibility and signature type in off-line signature verification
- 2007
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In: Biometrics Symposium, 2007. - Piscataway, N.J. : IEEE Press. - 9781424415496 ; , s. 1-6
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Conference paper (peer-reviewed)abstract
- The performance of two popular approaches for off-line signature nature verification in terms of signature legibility and signature type is studied. We investigate experimentally if the knowledge of letters, syllables or name instances can help in the process of imitating a signature. Experimental results are given on a sub-corpus of the MCYT signature database for random and skilled forgeries. We use for our experiments two machine experts, one based on global image analysis and statistical distance measures, and the second based on local image analysis and Hidden Markov Models. Verification results are reported in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR). ©2007 IEEE.
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| 3. |
- Garcia-Salicetti, S., et al.
(author)
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Biosecure reference systems for on-line signature verification : A study of complementarity
- 2007
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In: Annales des télécommunications. - : Springer. - 0003-4347 .- 1958-9395. ; 62:1-2, s. 36-61
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Journal article (peer-reviewed)abstract
- In this paper, we present an integrated research study in On-line Signature Verification undertaken by several teams that participate in the BioSecure Network of Excellence. This integrated work, started during the First BioSecure Residential Workshop, has as main objective the development of an On-line Signature Verification evaluation platform. As a first step, four On-line Signature Verification Systems based on different approaches are evaluated and compared following the same experimental protocol on MCYT signature database, which is the largest existing on-line western signature database publicly available with 16 500 signatures from 330 clients. A particular focus of work documented in this paper is multi-algorithmic fusion in order to study the complementarity of the approaches involved. To this end, a simple fusion method based on the Mean Rule is used after a normalization phase.
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