Rashid et al., 2021 - Google Patents
Convolutional Neural Network Approach for Precise Fingerprint RecognitionRashid et al., 2021
- Document ID
- 12449593535257022911
- Author
- Rashid M
- Rahman S
- Satu J
- Tariq A
- Publication year
- Publication venue
- 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)
External Links
Snippet
Fingerprint recognition is a technique which is used for identifying people automatically. This technique is one of the most effective and popular biometric techniques. The effectiveness of this technique is depends on the quality of the fingerprint which was given as input. If the …
- 230000001537 neural 0 title abstract description 8
Classifications
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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
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- G06K9/6279—Classification techniques relating to the number of classes
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00006—Acquiring or recognising fingerprints or palmprints
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- 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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- G—PHYSICS
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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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- G06K9/00885—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
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