Iris Segmentation and Recognization Using Log Gabor Filter and Curvelet Transform

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Provided by: International Journal Of Engineering And Computer Science
Topic: Security
Format: PDF
Biometric methods have been played important roles in personal recognition during last twenty years. These methods include the face recognition, finger print and iris recognition. Recently iris imaging has many applications in security systems. The aim of this paper is to design and implement a new iris recognition algorithm. In this paper, the new feature extraction methods according to log-gabor filters and curvelet transform for identifying the iris images are provided. Iris recognition is annular region between the sclera and the pupil of the human eye. In this region, there exists an extraordinary texture including many prominent features, on which the recognition is mainly relied.
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