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- W2393663219 abstract "Iris recognition is one of the most reliable methods for personal identification in recent years,which has received increasing attention and obtained the corresponding results,however,in recognition speed and accuracy,it is difficult to achieve the best of both worlds,the sequence iris image quality assessment makes it possible to resolve this bottleneck.On the base of sequence iris image quality evaluation in existence,proposing a algorithm of integrated sequence iris image quality,which includes three parts live detection of iris,iris effective area calculating as well as definition evaluation.The experimental results indicate that the iris image with high quality can be picked out effectively and correspondingly improve the accuracy rate of the iris recognition." @default.
- W2393663219 created "2016-06-24" @default.
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- W2393663219 date "2009-01-01" @default.
- W2393663219 modified "2023-09-26" @default.
- W2393663219 title "A Study on an Integrated Quality Assessment of Sequence Iris Image" @default.
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