J
Judith Liu-Jimenez
Researcher at Carlos III Health Institute
Publications - 66
Citations - 559
Judith Liu-Jimenez is an academic researcher from Carlos III Health Institute. The author has contributed to research in topics: Biometrics & Fingerprint (computing). The author has an hindex of 12, co-authored 66 publications receiving 480 citations. Previous affiliations of Judith Liu-Jimenez include Complutense University of Madrid & Charles III University of Madrid.
Papers
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Journal ArticleDOI
Performance evaluation of handwritten signature recognition in mobile environments
TL;DR: One of the big challenges of this research was to discover if the handwritten signature modality in mobile devices should be split into two different modalities, one for those cases when the signature is performed with a stylus, and another when the fingertip is used for signing.
Proceedings ArticleDOI
On-Line Signature Verification by Dynamic Time Warping and Gaussian Mixture Models
TL;DR: This paper deals with the analysis of discriminative powers of the features that can be extracted from an on-line signature, how it's possible to increase those discrim inative powers by dynamic time warping as a step in the preprocessing of the signal coming from the tablet.
Journal ArticleDOI
Iris Biometrics for Embedded Systems
TL;DR: In this paper, iris biometrics have been chosen to be implemented due to the low error rates and the robustness their algorithms provide, and the architectures proposed herein are faster, and are capable of obtaining error rates equivalent to those based on computer solutions.
Journal ArticleDOI
Small fingerprint scanners used in mobile devices: the impact on biometric performance
TL;DR: Results show the gradual worsening of quality and error rates as the size of the fingerprint scanner is reduced revealing a significant difference between the application scenarios analysed.
Book ChapterDOI
Correlation-based fingerprint matching with orientation field alignment
TL;DR: A coarse alignment step is proposed which reduces the amount of correlations that should be performed and is also very well suited for hardware acceleration due to the regularity of the used operations.