Presentation attack detection system for fake Iris: a review

• Published in: Multimedia tools and applications Vol. 80; no. 10; pp. 15193 - 15214
• Main Authors: Agarwal, Rohit, Jalal, Anand Singh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2021; Springer Nature B.V
• Subjects: Biometrics; Computer Communication Networks; Computer Science; Contact lenses; Data Structures and Information Theory; Multimedia Information Systems; Security; Special Purpose and Application-Based Systems; Spoofing; Biometric recognition; Presentation attack detection; Anti-spoofing; Iris detection
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-020-10378-7

The real-time solicitations of biometric systems have been extensively used for several things with the growing necessities of higher security level. There are numerous biometric traits used for person identification. In recent years, iris biometric trait become very popular and efficient in many security applications. However, biometric systems are prone to presentation attack. This attack is carried out by using spoofing of any biometric modality and present as a real trait. The objective of this paper is to present a broad and well thought-out overview of the effort that has been conceded out over the preceding years in the field of iris anti-spoofing. Spoofing of an iris image can be done by paper print and contact lens etc. So, it is essential to discover fake iris up to its core level. In this survey, we have discussed various research work done in the past on the topic of different classes of presentation attack and summarized the state-of-the-art methods in a structural way. We have also discussed the future direction in the field of iris liveness detection.