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IRIS TEXTURE ANALYSIS

Platform : DSP

IEEE Projects Years : 2003

This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on Issue Date: Dec. 2003 AIM: To study the IRIS recognition system ABSTRACT With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This paper focuses on the last issue and describes a new scheme for iris recognition from an image sequence. We first assess the quality of each image in the input sequence and select a clear iris image from such a sequence for subsequent recognition. A bank of spatial filters, whose kernels are suitable for iris recognition, is then used to capture local characteristics of the iris so as to produce discriminating texture features. Experimental results show that the proposed method has an encouraging performance. In particular, a comparative study of existing methods for iris recognition is conducted on an iris image database including 2,255 sequences from 213 subjects. Conclusions based on such a comparison using a nonparametric statistical method (the bootstrap) provide useful information for further research. LEARNING OBJECTIVE: Bio metric security system based on IRIS recognition system INPUT: Image of an Object OUTPUT : Detected Image APPLICATIONS: Image Processing SOFTWARE TOOL USED: MATLAB 2007A

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