A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is one of such biometric systems and is regarded as the most reliable and accurate identification systems available. It is the process of recognizing a person by analyzing the random pattern of the iris [8]. It combines computer vision, pattern recognition, statistical inference, and optics. Its purpose is real-time, high confidence recognition of a person's identity by mathematical analysis of the random patterns that are visible within the iris of an eye[7][8]. The proposed system takes an image of the eye, detects the iris and extracts it. Then a binary image of the extracted iris is created in order to form an equivalent barcode. Similarly a test data is also processed into a barcode and is matched with the reference barcodes in the database [8]. Representation of iris as a barcode provides an efficient and encrypted way for storing the iris data and provides one more level of security. Thus, the system has its application in various areas like national border controls: the iris can be used as a living passport, cell phone and other wireless-device-based authentication, secure access to bank accounts at cash machines, premises access control, credit-card authentication, Internet security, Biometric-Key Cryptography, etc[10]. Following parameters are observed. i.e. AR- Acceptance Ratio 58.90%. FRR- False Rejection Ratio 41.10%.FAR-False Acceptance Ratio 33.34 %. RR- Rejection Ratio 66.66%.

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Aztec Iris Barcode Recognition Reed-Solomon Barcode generation Matching Iris Encryption