High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
The relative distance of key point based iris recognition
Pattern Recognition
Iris recognition for partially occluded images: methodology and sensitivity analysis
EURASIP Journal on Applied Signal Processing
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
Iris recognition using multi-resolution transforms
International Journal of Biometrics
A novel method using contourlet to extract features for iris recognition system
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A novel and efficient method to extract features and vector creation in iris recognition system
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
A phase-based iris recognition algorithm
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Specific texture analysis for iris recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Shape analysis of stroma for iris recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Iris patterns are believed to be an important class of biometrics suitable for subject verification and identification applications. Earlier methods proposed for iris recognition were based on generating iris codes from features generated by applying Gabor wavelet processing to iris images. Another approach to image recognition is the use of correlation filters. Correlation filter methods differ from many image-based recognition approaches in that two-dimensional Fourier transforms of the images are used in this approach. In correlation filter methods, normal variations in an authentic iris image can be accommodated by designing a frequency-domain array (called a correlation filter) that captures the consistent part of iris images while deemphasizing the varying parts. Correlation filters also offer other benefits such as shift-invariance, graceful degradation and closed-form solutions. In this paper, we discuss the basics of correlation filters and show how they can be used for iris verification.