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RETRACTED ARTICLE: Image pattern recognition in big data: taxonomy and open challenges: survey

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This article was retracted on 20 September 2022

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Abstract

Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.

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Acknowledgments

This paper is supported by the Malaysian Ministry of Education under the University of Malaya.

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Authors and Affiliations

  1. Department of Computer Science and Information Technology, University Malaya, Kuala Lumpur, Malaysia

    Saber Zerdoumi, Aznul Qalid Md Sabri, Amirrudin Kamsin, Abdullah Gani, Saqib Hakak & Mohammed Ali Al-garadi

  2. Asia Pacific University of Technology and Innovation Technology Park Malaysia, Kuala Lumpur, Malaysia

    Ibrahim Abaker Targio Hashem

  3. Xi′an Jiaotong Liverpool University, Suzhou, China

    Victor Chang

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  1. Saber Zerdoumi
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Zerdoumi, S., Sabri, A.Q.M., Kamsin, A. et al. RETRACTED ARTICLE: Image pattern recognition in big data: taxonomy and open challenges: survey. Multimed Tools Appl 77, 10091–10121 (2018). https://doi.org/10.1007/s11042-017-5045-7

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