A biometric system provides automatic recognition of an individual based on some unique characteristic owned by the individual. Biometric systems have been developed based on fingerprints, facial features, hand geometry, and the one presented in this report, the iris.

Biometric systems work based on capturing sample records, such as face image, eye image, hand shape, finger shape. These sample records are transformed using some mathematical function to build biometric training path. These training paths will provide some characteristic property for identification. Most of the biometric systems allow two operation modes, which are an enrollment mode to build database and identification mode to give access.

 Nowadays, biometric systems play very important role with a maximum security is required where bank, military base, prison, airport, laboratory, intelligence office and etc. In order to produce a good biometric system, probability of having same characteristic should be minimal for individuals, so that the feature of individual does not change over time. Also the system should easily capture images in order to provide efficient access.

 In this report we produced a biometric system which is based on the iris recognition. In order to complete verification process we have used Principal Component Analysis (PCA) to recognized a specified image by the help of an associated Personal Identification Number (PIN). Principal Component Analysis is one of the most successful techniques that have been used to recognize images. We have adapted PCA methodology to Iris Recognition. Also we introduced graphical user interface software by using Visual Basic.net and Adobe Photoshop CS.

 This report includes fundamental information about Principal Component Analyses (PCA), biometric systems, combining software with hardware, difficulties in application and test results for Iris Recognition and Verification.