A multi-biometric iris recognition system based on a deep learning approach

• Published in: Pattern analysis and applications : PAA Vol. 21; no. 3; pp. 783 - 802
• Main Authors: Al-Waisy, Alaa S., Qahwaji, Rami, Ipson, Stanley, Al-Fahdawi, Shumoos, Nagem, Tarek A. M.
• Format: Journal Article
• Language: English
• Published: London Springer London 01.08.2018; Springer Nature B.V
• Subjects: Artificial neural networks; Back propagation; Biometric recognition systems; Biometrics; Computer Science; Deep learning; Feature extraction; Image classification; Neural networks; Noise sensitivity; Pattern Recognition; Short Paper; Spoofing; Training; Wavelet transforms; Deep learning; Softmax classifier; Convolutional Neural Network; AdaGrad method; Multimodal biometric systems; Iris recognition

Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability t...