Applying a novelty filter as a matching criterion to iris recognition for binary and real-valued feature vectors

• Published in: Signal, image and video processing Vol. 7; no. 2; pp. 287 - 296
• Main Authors: Costa Filho, Cicero Ferreira Fernandes, Pinheiro, Claudio Franklin Martins, Costa, Marly Guimaraes Fernandes, de Albuquerque Pereira, Wagner Coelho
• Format: Journal Article
• Language: English
• Published: London Springer-Verlag 01.03.2013
• Subjects: Computer Imaging; Computer Science; Image Processing and Computer Vision; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision; Biometrics; Wavelet; Novelty filter; Iris recognition
• ISSN: 1863-1703; 1863-1711
• DOI: 10.1007/s11760-011-0237-5

The main contributions of this paper are proposing a robust matching measure that employs multiple images of a subject to enroll an iris and that can be used with both types of feature vectors, real-valued and binary feature vectors. The first one is obtained using wavelet transforms and pixel intensity images and the second one using binary wavelet coefficients. The validation of the new matching measure proposed was done considering two utilization modes of the biometric system: verification mode and identification mode. The performance of the new matching measure is comparable to other published results. The vector with lower size was the one that uses binary wavelet coefficients, with only 10 bytes of information. Other authors reported binary feature vector sizes much greater than this one. Iris codification with vectors of lower sizes accounts for the construction of iris recognition embedded systems.