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Iris Recognition Algorithm

chnologyandApplication,ugg boots billig, 2004,2 (19) :42-46. (Continued from page 403) code matching an effective manner. To remove the invalid region, depending on the characteristics of the iris image texture only sparse cut off the outer edge of the iris section, are relatively abundant amount of information is much more texture. Image feature extraction in the iris, through the improvement of the Gabor algorithm,tory burch, and using code dislocation matching method to overcome the head and eye deviation due to the iris image caused by the effect of rotation on the recognition, even if the rotation of 6 degrees. 12. (Usually no more than 0), but also to get higher matching accuracy. The general study of the iris does not take into account the impact of rotation, only requires the head collector ramp rate was not too large. This is obviously the application of the iris will have some limitations. The test results can be seen, iris recognition is better, but the speed to be improved. In further research will be committed to improving the recognition rate, the establishment of the iris database, the large sample test. References: [1] DAUGMANJG. Highconfidencevisualrecognitionofpersonyatestofstatisticalindependence [J]. TransPatternAnalysisandMachineIntelligence. 1915 (11): l148-1l61. [23MALi. TANTieniu. wANGYunhong. Efficientirisrecognitionbycharacterizingkeylocalvariations [J]. IEEETransactionsonImageProcessing,tory burch sale, 2004. 13 (6) :739-75O. [33BOLESWW. BOASHASHB. Ahumanidentificationtechniqueusingimagesoftheirisandwavelettransform [J]. IEEETransonSignalProcessing. 1998,46 (4): ll85 a l188. [4] WILDSRP. Irisrecognition: anemergingbiometrictechnology [A]. ProceedingsoftheIEEE [c]. Sa ~ uan, Puertorico, 1997. [53ZHUYong. TANTieniu, WANGYunhong. Biometricpersonalidentificationsystembasedonirispatterns [P]. ChinesePatentApplication, 9911025.6,1999. [63ALIJMH, HASSANIENAE. AnirisrecognitionsystemtOenhancee-securityenvironmentbasedonwave-lettheory [J]. AdvancedModelingandOptimization, 2003. 5 (2) :93-104. [73 Min Yan Jun, WANG Yun-nine. Computer iris recognition principle [J]. Biochemistry and Biophysics, 2000,27 (4) :348-350. YANMiniun,true religion jeans, WANGYunjiu. Principleofiriscomputerrecognition [J]. ProgressinBiochemistryandBiophysics,tory burch shoes, 2000,27 (4) :348-350. [83 Shiyong Tao, Ye Tiger. A new iris location algorithm [J]. Guizhou University Report (Natural Science), 2003,32 (6) :42-44. SHIYongtao, YEHunian. Newalgorithmofirisloca-tion [J]. JournalofGuizhouUniversityofTechnology, 2003. 32 (6) :42-44.

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