Digital Image Processing
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms)
Iris verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Iris feature extraction using independent component analysis
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Noisy Iris Verification: A Modified Version of Local Intensity Variation Method
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
| Hi-index | 0.00 |
In this paper, a new shape analysis approach for iris recognition is proposed. First, the extracted iris images from eye portrait are enhanced by image deblurring filter which computes restoration using FFT-based Tikhonov filter with the identity matrix as the regularization operator. This procedure produces a smooth image in which shape of pigmented fibro vascular tissue known as Stroma is depicted easily. Then, an adaptive filter is defined to extract these shapes. In the next step, shape analysis techniques are applied in order to extract robust features from contour of the shapes such as support functions and radius vectors. These features are invariant under iris localization and mapping. Finally, a feature strip code is defined for every iris image. Introduced algorithm is applied to UBIRIS databank. Experimental results show efficiency of the proposed method by achieving an accuracy of 95.08% on first session of UBIRIS.