| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 103 === In today's advanced information age, security plays a very important position. The popular PIN (Personal Identification Number) Identification is usually lost because of negligence, so " biometric identification system " which has higher security will be used. The people does not need to memory a long list of password. Iris recognition is one of the most accurate biometric identification methods. Iris of each person is different, and its feature is not easily changed and has high accuracy. In the thesis, firstly we capture the iris image, and then using pre-processing algorithm to remove noise and complete the location to be the iris features ROI. Then it lets the features turn into iris code. In order to verify the correctness of the system, two databases are used. The first one is CASIA iris image database which is provided by the Chinese Academy of Sciences Institute of Automation, the other is CCU-database iris image database which is provided by Taiwan National Chung Cheng University. The matching rates of our sample are respectively 97.36% and 92.40%.
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