Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current signature verification systems are often difficult to explai...
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 profound connection with hum...
This research introduces an innovative approach to explore the cognitive and biologically inspired underpinnings of feature vector splitting for analyzing the significance of different attributes in e-security...
This paper investigates the impact of different approximation methods in feature extraction for pattern recognition applications, specifically focused on delta and delta-delta parameters. Using MCYT330 online ...
This paper examines the saturation of pressure signals during various handwriting tasks, including drawings, cursive text, capital words text, and signature, under different levels of fatigue. Experimental res...
Handwriting is a complex task that involves the coordination of motor, perceptual and cognitive skills. It is a fundamental skill for the cognitive and academic development of children. However, the technologi...
Alzheimer’s disease is one of the most incisive illnesses among the neurodegenerative ones, and it causes a progressive decline in cognitive abilities that, in the worst cases, becomes severe enough to interfe...
To date, Artificial Intelligence systems for handwriting and drawing analysis have primarily targeted domains such as writer identification and sketch recognition. Conversely, the automatic characterization of...
In this study, we examine the differences between two Sigma-Lognormal extractors. ScriptStudio is used to extract the Sigma-Lognormal parameters based on the velocity, and iDeLog is used for extracting the par...
Automatic signature verification is one of the main modes to verify the identity of the individuals. Among the strategies to describe the signature in the verifiers, run-length features have attracted the atte...
In signature verification, spatio-temporal features offer better performance than the ones extracted from static images. However, estimating spatio-temporal or spatial sequences in static images would be advan...
Alzheimer’s disease causes most of dementia cases. Although currently there is no cure for this disease, predicting the cognitive decline of people at the first stage of the disease allows clinicians to allevi...
This paper proposes a 3D representation of human kinematics with the Kinematic Theory of Rapid Human Movements and its associated Sigma-Lognormal model. Based on the lognormality principle, a human movement is...
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 is to evaluate the limits of on-line signature verif...
The paper presents a summary of the 1st Competition on Script Identification in the Wild (SIW 2021) organised in conjunction with 16th International Conference on Document Analysis and Recognition (ICDAR 2021)...
Online handwritten analysis presents many applications in e-security, signature biometrics being the most popular but not the only one. Handwriting analysis also has an important set of applications in e-healt...
The aqueduct of Les Ferreres is a major element of the Archaeological Ensemble of Tarraco. Although the ashlars of the aqueduct are stacked without mortar, lime was used in some parts and lime was certainly used ...
Sigma-Lognormal successfully been applied to modeling but never to acoustic-phonetic articulation. The hypothesis of this paper is that vocal tract dynamics, which jaw and tongue can be by the Kin...