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Authentication is an essential step for giving access to resources to authorized individuals and prevent leakage of confidential information. The traditional authentication systems like a pin, card, a password could not differentiate among the authorized users and fakers who have an illegal access to the system. Traditional authentication technique never alerts about the unwanted access to the system. The device that allows the automatic identification of an individual is known as a biometric system. It is not required to remember a password, card, and pin code in the Bio-metric system. Numerous biometric characteristics like the fingerprint, iris, palm print, face is used for authentication and recognition. As compared to fingerprint and face the Iris based authentication provides stronger contactless identification of the user. Due to the contactless approach, it helps to prevent the spread of viruses and diseases like COVID 19. But the system faces issues related to spoofing attacks using contact lenses, replayed video, print attacks, etc., which make it unsafe to use for high-security applications. Thus, is there is an urge need to develop robust Iris Biometric system, which can discriminate between real and spoof Iris images. In this paper the bibliometric study of Biometric Iris Liveness detection performed by using the Scopus database. From this study it is observed that the majority of articles on Biometric Iris Liveness Detection were published from India, followed by the USA. The paper concludes that the area of study is recent and further research is required in the field of Biometric Iris Liveness Detection