Padkan et al., 2023 - Google Patents
Fingerprint matching using the onion peeling approach and turning functionPadkan et al., 2023
View PDF- Document ID
- 8778742712134193543
- Author
- Padkan N
- Bigham B
- Faraji M
- Publication year
- Publication venue
- Gene Expression Patterns
External Links
Snippet
Fingerprint, as one of the most popular and robust biometric traits, can be used in automatic identification and verification systems to identify individuals. Fingerprint matching is a vital and challenging issue in fingerprint recognition systems. Most fingerprint matching …
Classifications
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- 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
- G06K9/00087—Matching; Classification
- G06K9/00093—Matching features related to minutiae and pores
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- 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
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- 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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- G—PHYSICS
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- G06K9/00006—Acquiring or recognising fingerprints or palmprints
- G06K9/00013—Image acquisition
- G06K9/00046—Image acquisition by using geometrical optics, e.g. using prisms
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- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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- G—PHYSICS
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- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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