High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new directional filter bank for image analysis and classification
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal 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
Iris recognition by local extremum points of multiscale Taylor expansion
Pattern Recognition
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
Low-complexity iris coding and recognition based on directionlets
IEEE Transactions on Information Forensics and Security
Parallelizing iris recognition
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Low-complexity iris recognition with oriented wavelets
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Image processing in personal identification
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
Comparing an FPGA to a cell for an image processing application
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Iris recognition by fusing different representations of multi-scale Taylor expansion
Computer Vision and Image Understanding
Extracting and combining multimodal directional iris features
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
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In iris-based biometric systems, iris images acquired by a video or CCD camera generally have a lot of contrast or brightness differences in an image or between images due to the different extent of camera focusing or illumination conditions. To extract the discriminatory iris features robust to such differences, this paper presents a new normalization scheme of the directional energy that will be used as the iris feature. The proposed method first performs band-pass filtering on the input iris image to reduce the effect of high frequency noise and DC energy difference, then decomposes the image into several directional subband outputs using a directional filter bank (DFB). The directional energy values of the iris pattern are extracted from the decomposed subband outputs on a block-by-block basis and then are normalized with respect to the total block energy. Matching is performed by finding the Euclidean distance between the input and enrolled template feature vector. Experimental results show that the proposed method is robust to changes in illumination or contrast and the overall feature extraction and matching procedures are effective.