Skip to main content

Retraction Note: Criminal tendency detection from facial images and the gender bias effect

Retraction to: J Big Data (2020) 7:2 https://doi.org/10.1186/s40537-019-0282-4

The authors have retracted this article [1] because they did not seek approval from their ethics committee before undertaking this study that uses human biometric data. Both authors agree with this retraction.

Reference

  1. 1.

    Hashemi M, Hall M. Criminal tendency detection from facial images and the gender bias effect. J Big Data. 2020;7:2. https://doi.org/10.1186/s40537-019-0282-4.

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Mahdi Hashemi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Hashemi, M., Hall, M. Retraction Note: Criminal tendency detection from facial images and the gender bias effect. J Big Data 7, 40 (2020). https://doi.org/10.1186/s40537-020-00323-8

Download citation