Iris Recognition: An emerging biometric technology

: Iris recognition is a well-known biometric technique. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc, the iris has some advantages such as uniqueness, stability, high recognition rate, and non-infringing etc. Iris recognition, which is divided into four steps: segmentation, normalization, feature extraction and matching. We had taken iris images from database CASIA V4.We use Daugman’s method using integrodifferential operator for segmentation & the feature extraction algorithm based on principle component analysis(PCA) & independent component analysis(ICA) for a compact iris code. We use these methods to generate optimal basis elements which could represent iris signals efficiently. In practice the coefficient of these methods are used as feature vectors. Then iris feature vectors are encoded into the iris code for storing and comparing individual's iris patterns. The iris recognition is using principal component analysis & independent component analysis can produce spatially globalfeatures. Hamming distance method is used for matching purpose for principle component analysis & independent component analysis.

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  2013

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