Survey details periocular biometrics for media forensics and disinformation detection

A new survey paper explores the use of periocular soft biometrics for applications in multimedia forensics and disinformation detection. The paper details demographic attribute estimation from periocular images, covering datasets, deep learning methods, and the current state of gender, age, and ethnicity prediction. It also discusses challenges such as dataset bias, fairness, and the need for forensic-oriented benchmarks. AI

IMPACT This research could enhance the accuracy and scope of multimedia forensics and disinformation detection systems.

RANK_REASON This is a survey paper published on arXiv detailing research on periocular biometrics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• Age
• arXiv
• deep learning
• Disinformation detection and source tracking using semi-fragile watermarking and blockchain
• Fernando Alonso-Fernandez
• forensic examination
• gender
• identity verification
• multimedia forensics
• Periocular regional block: experience with a two-point injection technique
• Surveillance

• paper
• other

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