Vatsa et al., 2004 - Google Patents
Comparison of iris recognition algorithmsVatsa et al., 2004
View PDF- Document ID
- 17688237622694201421
- Author
- Vatsa M
- Singh R
- Gupta P
- Publication year
- Publication venue
- International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of
External Links
Snippet
In this paper, we have studied various well known algorithms for iris recognition. Four algorithms due to Sanchez-Avila et al.(2001), Li Ma et al.(2002), Tisse et al.(2002) and Daugman (2001) are implemented and compared on the CASIA iris image database. The …
- 210000000554 Iris 0 title abstract description 89
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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
- G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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