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Analysis of institutional authors

Galbally Herrero, JavierAuthorFierrez Aguilar, JulianAuthor

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October 19, 2020
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Image quality assessment for fake biometric detection: Application to Iris, fingerprint, and face recognition

Publicated to:IEEE TRANSACTIONS ON IMAGE PROCESSING. 23 (2): 710-724 - 2014-02-01 23(2), DOI: 10.1109/TIP.2013.2292332

Authors: Galbally J; Marcel S; Fierrez J

Affiliations

European Commission Joint Research Centre - Author
European Commission Joint Research Centre, Ispra - Author
Institut Dalle Molle D'intelligence Artificielle Perceptive - Author
Universidad Autónoma de Madrid - Author

Abstract

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured synthetic or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image (i.e., the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits. © 1992-2012 IEEE.

Keywords

AttacksBiometricsCountermeasuresImage quality assessmentSecurity

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE TRANSACTIONS ON IMAGE PROCESSING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2014, it was in position 14/248, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Electrical & Electronic.

This publication has been distinguished as a “Highly Cited Paper” by the agencies WoS (ESI, Clarivate) and ESI (Clarivate), meaning that it ranks within the top 1% of the most cited articles in its thematic field during the year of its publication. In terms of the observed impact of the contribution, this work is considered one of the most influential worldwide, as it is recognized as highly cited. (source consulted: ESI Nov 14, 2024)

And this is evidenced by the extremely high normalized impacts through some of the main indicators of this type, which, although dynamic over time and dependent on the set of average global citations at the time of calculation, already indicate that they are well above the average in different agencies:

  • Normalization of citations relative to the expected citation rate (ESI) by the Clarivate agency: 13.15 (source consulted: ESI Nov 14, 2024)
  • Weighted Average of Normalized Impact by the Scopus agency: 25.07 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 134.05 (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-09, the following number of citations:

  • WoS: 391
  • Scopus: 539
  • Europe PMC: 8
  • Google Scholar: 470

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-09:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 338.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 331 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 12.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://repositorio.uam.es/handle/10486/662101

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GALBALLY HERRERO, JAVIER) and Last Author (FIERREZ AGUILAR, JULIAN).