الفهرس 
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Abstract
With an increasing emphasis on security automated personal identification based on biometric features has been receiving extensive attention over the past decade. Biometrics identifies persons based on their physical characteristics or their personal traits.
This research emphasis on one of biometrics techniques, which is personal identification based on iris recognition. Iiris recongnition has been chosen as the topic of this research as iris features are unique for each person, it can not dublicate even between identical twins. Formation of iris begins during the third month of embryonic life, and its unique pattern is formed during the first year of life. So iris features forms so early and dosen`t changes over a person`s life. Iris recognition systems have several stages:
Image acquistion in which the eye images are captured and stored in a database.
Preprocessing in which some preprocessing techniques are applied to the eye image to locate and extract the iris region and eliminate the non-iris regions.
Feature extraction by using some transforms they can be used to extract the discriminating feature of the iris images and create a feature vector for each iris image.
Storing features in this stage the storing of the feature vectors extracted is done.
Recognition it is the last stage of the system. in which the comparisons between the extracted feature vector and the stored ones is performed using some identification techniques, to identify/verify the person dealing with the system.
This thesis introduces an iris recognition system by studying the existing techniques utilized at perpeocessing, feature extraction and recognition stages and evalute their performance. In addition, we explore alternative techniques to improve performance.