Sun et al., 2005 - Google Patents
Improving iris recognition accuracy via cascaded classifiersSun et al., 2005
View PDF- Document ID
- 18262060141508795914
- Author
- Sun Z
- Wang Y
- Tan T
- Cui J
- Publication year
- Publication venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
External Links
Snippet
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. The most distinguishing feature of an iris image comes from the fine spatial changes of the image structure. So iris pattern representation must characterize …
- 210000000554 Iris 0 title abstract description 149
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00006—Acquiring or recognising fingerprints or palmprints
- G06K9/00067—Preprocessing; Feature extraction (minutiae)
- G06K9/00073—Extracting features related to minutiae and pores
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
- G06K9/6292—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data
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