Research on iris image encryption based on deep learning

• Main Authors: Xiulai Li, Yirui Jiang, Mingrui Chen, Fang Li
• Format: Article
• Language: English
• Published: SpringerOpen 2018-11-01
• Series: EURASIP Journal on Image and Video Processing
• Subjects: Image analysis; Iris; Deep learning; Image encryption
• Online Access: http://link.springer.com/article/10.1186/s13640-018-0358-7

Abstract With the development of information technology, the demand for information security is increasing. For more convenient and safer needs, the encryption technology based on biometrics has developed rapidly. Among them, iris technology has become an important research object of information security research due to the stability of iris characteristics and its difficulty in forgery. In this paper, the iris feature encryption technology based on the iris is studied by using the method of deep learning as the feature classification method and the iris feature as the research object. The simulation experiment is carried out by using the common iris database. The results show that the method can greatly improve the consistency of iris encryption and improve the security of encryption and decryption process.