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An overview of iris recognition: a bibliometric analysis of the period 2000–2012

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Abstract

Person identification based on iris recognition is getting more and more attention among the modalities used for biometric recognition. This fact is due to the immutable and unique characteristics of the iris. Therefore it is of utmost importance for researchers interested in this discipline to know who and what is relevant in this area. This paper presents a comprehensive overview of the field of iris recognition research using a bibliometric approach. Besides, this article provides historical records, basic concepts, current progress and trends in the field. With this purpose in mind, our bibliometric study is based on 1,354 documents written in English, published between 2000 and 2012. Scopus was used to perform the information retrieval. In the course of this study, we synthesized significant bibliometric indicators on iris recognition research in order to evaluate to what extent this particular field has been explored. Thereby, we focus on foundations, temporal evolution, leading authors, most cited papers, significant conventions, leading journals, outstanding research topics and enterprises and patents. Research topics are classified into three main categories: ongoing, emerging, and decreasing according to their corresponding number of publications over the period under study. An analysis of these indicators suggests there has been major advances in iris recognition research and also reveals promising new avenues worthy of investigation in the future. This study will be useful to future investigators in the field.

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Notes

  1. A list of all document sources can be found on the Scopus website (www.scopus.com)

  2. The installer and documentation can be found on the Calc website (http://www.openoffice.org/product/calc.html)

  3. The installer and documentation can be found on the Viscovery SOMine website (http://www.viscovery.net)

  4. The installer and documentation can be found on the NetDraw website (www.analytictech.com)

  5. The SJR of each journal indexed by Scopus may be checked in http://www.scimagojr.com

  6. The JCR of each journal indexed by WOS may be checked in http://thomsonreuters.com/thomson-reuters-web-of-science/

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Acknowledgments

The authors are thankful to Dr. Dominique Lepicq and Lic. Glenda Armas Noda for their important comments on the development of this paper. Also, we want to thank the anonymous reviewers for the comments and ideas provided. This work was supported by Andalusian Regional Government project P09-TIC-04813, the Spanish Government project TIN2012-38969 and by the AUIP.

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Authors and Affiliations

  1. Department of Computer Sciences, University of Cienfuegos, Cienfuegos, Cuba

    Yuniol Alvarez-Betancourt

  2. Department of Computer Sciences and Artificial Intelligence, University of Granada, Granada, Spain

    Miguel Garcia-Silvente

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  1. Yuniol Alvarez-Betancourt
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  2. Miguel Garcia-Silvente
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Correspondence to Miguel Garcia-Silvente.

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Alvarez-Betancourt, Y., Garcia-Silvente, M. An overview of iris recognition: a bibliometric analysis of the period 2000–2012. Scientometrics 101, 2003–2033 (2014). https://doi.org/10.1007/s11192-014-1336-1

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