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cs.CV2025

Anthropomorphic Features for On-Line Signatures

Moises Diaz, Miguel A. Ferrer, Jose J. Quintana

Many features have been proposed in on-line signature verification. Generally, these features rely on the position of the on-line signature samples and their dynamic properties, as…

cs.CV2024

Writing Order Recovery in Complex and Long Static Handwriting

Moises Diaz, Gioele Crispo, Antonio Parziale +2

The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of comp…

cs.CV2024

MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification

Miguel A. Ferrer, Abhijit Das, Moises Diaz +3

Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a…

cs.CV2024

Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures

Moises Diaz, Miguel A. Ferrer, Soodamani Ramalingam +1

In automatic signature verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required…

cs.CV2024

A Perspective Analysis of Handwritten Signature Technology

Moises Diaz, Miguel A. Ferrer, Donato Impedovo +3

Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, havin…

cs.CV2024

Dynamically enhanced static handwriting representation for Parkinson's disease detection

Moises Diaz, Miguel Angel Ferrer, Donato Impedovo +2

Computer aided diagnosis systems can provide non-invasive, low-cost tools to support clinicians. These systems have the potential to assist the diagnosis and monitoring of neurodeg…