生物特征识别学科发展报告（2021—2025）

Key Points

• The aim is to provide a comprehensive overview of advancements and challenges in biometric recognition technologies from 2021 to 2025.
• Review of key biometric modalities including facial recognition, iris recognition, and fingerprint technology.
• Analysis of advancements in algorithms and sensor technology.
• Examination of application scenarios and security threats related to biometric data.
• Assessment of cross-disciplinary integrations in fields like human-computer interaction and healthcare.
• Biometric recognition technologies have improved in accuracy and efficiency due to advancements in deep learning and sensor technologies.
• New security threats, such as deep forgery and adversarial attacks, pose significant challenges to the integrity of these systems.
• The demand for robust, efficient, and adaptable technologies is increasingly pressing, particularly in resource-limited environments.
• There is a trend toward integrating biometric recognition across various sectors, enhancing user interaction and identity perception.

Abstract