Iris Recognition Using Gabor
نویسنده
چکیده
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 patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison tests [3]. We present an efficient Iris Code classifier, built from phase features which use Gabor wavelets bandwidths [1]. The final iris classifier consists of a weighted contribution of weak classifiers. Based on the Levenshtein distance between phase vectors of the respective iris images [4]. IRIS Recognition is used of Identification, Authentication,and Scanning . There are different methods for feature extraction of iris. Here proposed three different methods for feature extraction namely principal component analysis, independent component analysis and 2D gabor wavelet.[9]
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