Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices

• Published in: IEEE transactions on information forensics and security Vol. 13; no. 11; pp. 2897 - 2912
• Main Authors: Zhang, Qi, Li, Haiqing, Sun, Zhenan, Tan, Tieniu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adaptive weights; Artificial neural networks; Biometric recognition systems; Biometrics; deep feature fusion; Electronic devices; Fuses; Identification methods; Image enhancement; Image quality; Iris recognition; Lighting; Machine learning; mobile devices; Mobile handsets; Object recognition; periocular recognition; Representations; Sensors

The quality of iris images on mobile devices is significantly degraded due to hardware limitations and less constrained environments. Traditional iris recognition methods cannot achieve high identification rate using these low-quality images. To enhance the performance of mobile identification, we d...