Agrawal et al., 2014 - Google Patents
A hybrid partial fingerprint matching algorithm for estimation of equal error rateAgrawal et al., 2014
- Document ID
- 4095948968393969315
- Author
- Agrawal P
- Kapoor R
- Agrawal S
- Publication year
- Publication venue
- 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies
External Links
Snippet
In Biometric fingerprints are most promising technology for identification and verification in various applications. The general fingerprint matching algorithms perform poorly in case of partial prints and may discard these prints during matching. The major problems with partial …
- 239000011148 porous material 0 abstract description 30
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
- G06K9/6211—Matching configurations of points or features, e.g. constellation matching
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- 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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- G06K9/00006—Acquiring or recognising fingerprints or palmprints
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- G06K9/00073—Extracting features related to minutiae and pores
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- G06K9/00093—Matching features related to minutiae and pores
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- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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- G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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- G06K9/00885—Biometric patterns not provided for under G06K9/00006, G06K9/00154, G06K9/00335, G06K9/00362, G06K9/00597; Biometric specific functions not specific to the kind of biometric
- G06K9/00899—Spoof detection
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