Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
Local feature extraction for iris recognition with automatic scale selection
Image and Vision Computing
A study on eyelid localization considering image focus for iris recognition
Pattern Recognition Letters
GA-Based Iris/Sclera Boundary Detection for Biometric Iris Identification
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
A Dental Radiograph Recognition System Using Phase-Only Correlation for Human Identification
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Palmprint Recognition Algorithm Using Phase-Only Correlation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Iris Matching by Local Extremum Points of Multiscale Taylor Expansion
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A new phase-correlation-based iris matching for degraded images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Iris recognition by fusing different representations of multi-scale Taylor expansion
Computer Vision and Image Understanding
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This paper presents an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in two-dimensional discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition with a simple matching algorithm. Experimental evaluation using the CASIA iris image database (ver. 1.0 and ver. 2.0) clearly demonstrates an efficient performance of the proposed algorithm.