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About

Ana F. Sequeira holds a PhD in Electrical and Computing Engineering obtained from the Engineering Faculty of University of Porto, Portugal in 2015. Ana also holds a Master degree in Mathematical Engineering and a 5-years degree in Mathematics, both obtained from the Mathematics Department of the Science Faculty of the University Of Porto, Portugal.

Ana collaborated as a researcher at INESC TEC, a R&D institute affiliated to the University of Porto, within the Visual Computing and Machine Intelligence Group (VCMI) during her PhD studies.

Ana’s PhD studies, in the fields of computer vision and machine learning, focused on liveness detection techniques for iris and fingerprint. This research equipped Ana with a deep knowledge and diversified skills regarding the complete image processing and classification pipeline: from the pre-processing methods to the classification/decision step passing through the application of feature extraction techniques.

The post-doctoral research was pursued at the University of Reading, UK, collaborating in EU projects related to the application of biometric recognition in Border Control (FASTPASS and PROTECT projects).

This activity was followed by a short term collaboration with the company Iris Guard UK in order to research on the vulnerabilities of EyePay® technology’s to spoofing and to develop a proof-of-concept of an anti-spoofing measure.

Currently, Ana is back at INESC TEC as a Research Assistant.

During Ana’s activity as PhD and PDRA, she authored and co-authored several research publications in major international conferences and journals which attracted, to the date, over 150 citations.

Throughout her research activity, Ana developed expertise not only in computer vision/image processing topics but as well in the application of diversified machine learning techniques, from classic to deep learning methodologies.

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Publications

2012

Gradient Flow Based Iris Segmentation on Noisy Images

Authors
João C. Monteiro; Hélder P. Oliveira; Ana F. Sequeira; Jaime S. Cardoso

Publication
StudECE 2012 - 1st PhD. Students Conference in Electrical and Computer Engineering , pp.1-2, Porto, Portugal

Abstract

2012

Colour feature selection for an unconstrained iris recognition system

Authors
Ana Filipa Sequeira; Samaneh Khoshrou; Jaime Cardoso

Publication
StudECE 2012 - 1st PhD. Students Conference in Electrical and Computer Engineering , Porto, Portugal

Abstract
We consider the problem of fusing colour information to enhance the performance of an iris authentication system. The discriminatory information potential of a vast range of colour channels is investigated. The verification process is based on open-source implementation made by Libor Masek. A sequential search approach was used which is similar to the 'plus L and take away R' algorithm that is applied in order to find an optimum subset of the colour spaces. The colour based classifiers are combined using the SVM classifier to find optimum colour features. We show that by fusing colour information using the proposed method, the resulting decision making scheme considerably outperforms the intensity based verification system.

2012

Color feature selection for unconstrained iris recognition

Authors
Ana Filipa Sequeira; Samaneh Khoshrou; Jaime Cardoso

Publication
RecPad 2012 - RecPad 2012 - 18th edition of the Portuguese Conference on Pattern Recognition, Coimbra, Portugal

Abstract

2012

Colour feature selection for an unconstrained iris recognition system

Authors
Ana Filipa Sequeira; Samaneh Khoshrou; Jaime Cardoso

Publication
StudECE 2012 - 1st PhD. Students Conference in Electrical and Computer Engineering , Porto, Portugal

Abstract