Helga C. Quiros-Sandoval

Universidad Carlos III de Madrid

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Raúl Sánchez-Reillo

Universidad Carlos III de Madrid

Wendy Ponce-Hernandez

Universidad Carlos III de Madrid

Ines Goicoechea-Telleria

Universidad Carlos III de Madrid

Ines Ortega-Fernandez

Centro Tecnolóxico de Telecomunicacións de Galicia

Judith Liu‐Jimenez

Universidad Carlos III de Madrid

Ramón Blanco-Gonzalo

European Space Agency

Rodrigo Ros‐Gomez

Universidad Carlos III de Madrid

Cooperative Institutions

Universidad Carlos III de Madrid

Universidad Politécnica de Madrid

Centro Tecnolóxico de Telecomunicacións de Galicia

Universidade de Vigo

European Space Agency

University of Kent

Universidad Publica de Navarra

Institute of Electrical and Electronics Engineers

European Telecommunications Standards Institute

Vicomtech

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Improving Presentation Attack Detection in Dynamic Handwritten Signature Biometrics

IEEE Access (2017)

Raúl Sánchez-Reillo Helga C. Quiros-Sandoval Ines Goicoechea-Telleria Wendy Ponce-Hernandez

Handwritten signature recognition is a biometric mode that has started to be deployed. Therefore, it is necessary to analyze the robustness of the recognition process against presentation attacks, to find its vulnerabilities. Using the results of a previous work, the vulnerabilities are detected and two presentation attack detection techniques have been implemented. With such implementations, a new evaluation has been performed, showing an improvement in the performance. Error rates have been lowered from about 20% to below 3% under operational conditions.

Robustness

Signature recognition

Signature (topology)

Presentation (obstetrics)

Implementation

10.1109/access.2017.2755771

Cite

Citations (13)

A comparative analysis on the performance of static handwritten verification systems on realistic scenarios

Rodrigo Ros‐Gomez Helga C. Quiros-Sandoval Ramón Blanco-Gonzalo Raúl Sánchez-Reillo

An analysis on realistic conditions for static handwritten signature verification systems is presented. Evaluation conditions are studied so to approximate as accurately as possible the conditions of a real-world operational scenario. Also, the problem of modeling realistic attacks by using databases containing forgeries is considered in the analysis. To do so, a database collected with different levels of knowledge and training is used. Performance evaluation results with these restrictions are given over several databases. Results show the effect of the amount of training and the information available to the forger on the attack resistance of some algorithms.

Signature (topology)

10.1109/ccst.2016.7815679

Cite

Citations (1)

Analysis of the attack potential in low cost spoofing of fingerprints

Ines Goicoechea-Telleria Judith Liu‐Jimenez Helga C. Quiros-Sandoval Raúl Sánchez-Reillo

The use of biometrics in smartphones keeps growing. Every day, we use our phones to store sensitive data (such as photos, bank accounts and documents), so we rely on the security manufacturers offer when protecting our private life. It is well known that it is possible to hack into a smartphone using fake fingers made of Play-Doh and other easy-to-obtain materials but, to what extent? Is this true for all users or only for specialists with deep knowledge on biometrics? To test this, we performed an evaluation: 15 simulated attackers with no background in biometrics were asked to create fake fingers of several materials out of a silicon mold, and they had one week to attack the fingerprint sensors of 5 very well-known smartphones. Each had to, at least, use 3 bona-fide capture subjects, summing a total of 5,841 attempts. Their starting point was a short video of a researcher performing the attack and apart from that, they were on their own. This paper will provide the results achieved, as well as an analysis on the attack potential of this kind of biometric implementations. All results are given following the metrics of the standard ISO/IEC 30107-3.

Spoofing attack

Implementation

10.1109/ccst.2017.8167798

Cite

Citations (6)

How to implement EU data protection regulation for R&D on personal data

Raúl Sánchez-Reillo Ines Ortega-Fernandez Wendy Ponce-Hernandez Helga C. Quiros-Sandoval

Biometric R&D has to deal with personal data. From the Universal Declaration of Human Rights, privacy of a human being shall be protected, and this is addressed in different forms in each region of the world. In the case of the European Union, Data Protection Directives, Laws and Regulation have been established, and interpreted in different ways by each European Member State. Such a diversity has pushed the European Union to generate an improved regulation that will be mandatory in 2018. Biometric R&D shall not only comply with the current Directive, but also has to adapt its work to the new Regulation. This work is intended to describe the situation and provide a recommended procedure when having to acquire personal data.

Declaration

Directive

Member state

10.1109/ccst.2017.8167797

Cite

Citations (1)

Evaluation of strengths and weaknesses of dynamic handwritten signature recognition against forgeries

Raúl Sánchez-Reillo Helga C. Quiros-Sandoval Judith Liu‐Jimenez Ines Goicoechea-Telleria

This paper proposes a methodology for evaluating the robustness of handwritten signature biometrics against forgeries. A particular emphasis has been applied in consider the viability of the attacks under operational environments. In order to carry out this work, not only a methodology but a toolbox has been developed. Such toolbox stores data, not only from a signing pad connected to a computer, but also from touch-screen devices such as smartphones and tablets. The proposed methodology has been tested by performing a robustness evaluation of a DTW-based algorithm, and with a database of genuine signatures acquired using a STU-500 pad as an input for the evaluation toolbox. The results will proof the validity of the methodology proposed, as well as show some of the strengths and weaknesses of this biometric modality. It is important to note that those strengths and weaknesses may only apply to the particular algorithm used in the evaluation, and may differ for other algorithms, in particular those that incorporates Presentation Attack Detection (PAD) mechanisms.

Robustness

Strengths and weaknesses

Toolbox

Signature (topology)

Identification

10.1109/ccst.2015.7389713

Cite

Citations (7)

How to implement EU data protection regulation for R&D in biometrics

Computer Standards & Interfaces (2018)

Raúl Sánchez-Reillo Ines Ortega-Fernandez Wendy Ponce-Hernandez Helga C. Quiros-Sandoval

Declaration